[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_05a2b69a-b7d4-4d92-aae1-c534bbfe91f3":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:05a2b69a-b7d4-4d92-aae1-c534bbfe91f3,\"}":87},{"code":4,"data":5,"meta":20},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":22,"manageAffiliations":23,"indexDatabases":24,"url":42,"thumbnailPath":20,"statistic":43,"gsStatistic":20,"type":86,"analyzePriority":20},"05a2b69a-b7d4-4d92-aae1-c534bbfe91f3","2024-04-11T08:24:51.525+00:00","2025-11-21T09:47:02.672+00:00",[],"Journal-of-Control-Theory-and-Applications",{"issn":12,"eissn":14,"title":16},{"VOID":13},"1993-0623",{"VOID":15},"1672-6340",{"EN":17},"Journal of Control Theory and Applications","PUBLISHER","PENDING",null,0,[],[],[25],{"id":26,"indexDatabase":27,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},"2e4b6779-37a4-48b0-b377-6a555e2873fb",{"id":28,"createTime":29,"updateTime":30,"relativeEntities":31,"label":32,"description":34,"key":36,"publicationTags":37,"standard":20},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":33,"VI":33},"Scopus - Elsevier",{"EN":33,"VI":35},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[38],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F5800173400","2007-2013","SCOPUS__Q4","https:\u002F\u002Flink.springer.com\u002Fjournal\u002F11768",{"impactFactor":21,"impactFactorByYear":44,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":51,"totalCitation":60,"totalCitationByYear":61,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":73,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},0.17,0.15,0.21,0.24,27,508,{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},14,41,43,49,52,71,42,63,835,{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},38,81,96,25,103,58,10,220,29,123,1.64,{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},2.71,1.98,2.23,0.58,1.27,2.1,1.18,0.19,3.1,0.69,1.95,16,"JOURNAL",{"meta":88,"data":90},{"total":89},"506",[91,171,255,349,433,646,750,819,889,961],{"id":92,"createTime":93,"updateTime":94,"relativeEntities":95,"slug":96,"properties":97,"entityType":106,"verifyStatus":107,"verifyTime":94,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":109,"fullTextUrl":20,"authors":110,"publicationType":141,"publisherRelationship":142,"citationCount":20,"citationInfo":20,"publishDate":168,"publishYear":169,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"3b4f2b19-aff6-44a4-8b4f-2cf6dfae0c28","2024-01-27T19:20:04.558+00:00","2024-12-18T23:57:13.788+00:00",[],"Decoupled-Wiener-state-fuser-for-descriptor-systems",{"references":98,"abstract":100,"title":102,"doi":104},{"VOID":99},"R. Nikoukhah, S. L. Campbell, F. Delebecque. Kalman filtering for general discrete-time linear systems[J]. IEEE Transactions on Automatic Control, 1999, 44(10): 1829–1839.\nM. Darouach, M. Zasadzinski, A. B. Onana, S. Nowakowski. Kalman filtering with unknown inputs via optimal state estimation of singular systems[J]. International Journal of Systems Science, 1995, 26(10): 2015–2028.\nH. Zhang, L. Tie, Y. C. Soh. Optimal recursive filtering, prediction and smoothing for singular stochastic discrete-time systems[J]. IEEE Transactions on Automatic Control, 1999, 44(12): 2154–2158.\nZ. Deng, Y. Liu. Descriptor Kalman estimators[J]. International Journal of Systems Science, 1999, 30(11): 1205–1212.\nZ. Deng, Y. Xu. Descriptor Wiener state estimators[J]. Automatica, 2000, 36(12): 1761–1766.\nZ. Deng, Y. Gao, Y. Li, G. Hao. New approach to information fusion steady-state Kalman filtering[J]. Automatica, 2005, 41(10): 1695–1707.\nY. Gao, G. Tao, Z. Deng. Decoupled distributed Kalman fuser for descriptor systems[J]. Signal Processing, 2008, 88(5): 1261–1270.\nZ. Deng, Y. Gao, G. Tao. Reduced-order steady-state descriptor Kalman fuser weighted by block-diagonal matrices[J]. Information Fusion, 2008, 9(1): 300–309.\nM. Gevers, W. Wouters. An innovations approach to the discrete-time stochastic realization problem[J]. Quarterly Journal on Automatica, 1998, 19(2): 90–110.\nK. J. Astrom. Mathematical control theory[M]\u002F\u002F W. A. Coppel, Ed. Stochastic Control Theory. New York: Springer, 1978: 1–67.",{"EN":101},"By the modem time series analysis method, based on the autoregressive moving average (ARMA) innovation models and white noise estimation theory, using the optimal fusion rule weighted by diagonal matrices, a distributed descriptor Wiener state fuser is presented by weighting the local Wiener state estimators for the linear discrete stochastic descriptor systems with multisensor. It realizes a decoupled fusion estimation for state components. In order to compute the optimal weights, the formulas of computing the cross-covariances among local estimation errors are presented based on cross-covariances among the local innovation processes, input white noise, and measurement white noises. It can handle the fused filtering, smoothing, and prediction problems in a unified framework. Its accuracy is higher than that of each local estimator. A Monte Carlo simulation example shows its effectiveness and correctness.",{"EN":103},"Decoupled Wiener state fuser for descriptor systems",{"VOID":105},"10.1007\u002Fs11768-008-7119-6","PUBLICATION","VERIFIED","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-008-7119-6",[111,128],{"id":112,"sortIndex":21,"researcher":20,"roles":113,"affiliations":115,"properties":125},"5e4048dc-1291-4b42-af13-194174414a00",[114],"AUTHOR",[116],{"id":20,"sortIndex":21,"affiliation":117,"properties":20},{"id":118,"createTime":119,"updateTime":119,"relativeEntities":120,"slug":20,"properties":121,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"703e13df-ddef-4c1b-a8e0-6707334823ed","2024-01-27T19:20:04.582+00:00",[],{"title":122},{"VI":123},"Department of Automation, Heilongjiang University, Harbin, China","AFFILIATION",{"title":126},{"VI":127},"Chenjian Ran",{"id":129,"sortIndex":130,"researcher":20,"roles":131,"affiliations":132,"properties":138},"d619c1ff-3691-4088-a823-59b15e98b347",1,[114],[133],{"id":20,"sortIndex":21,"affiliation":134,"properties":20},{"id":118,"createTime":119,"updateTime":119,"relativeEntities":135,"slug":20,"properties":136,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":137},{"VI":123},{"title":139},{"VI":140},"Zili Deng","ARTICLE",{"url":109,"publisher":143,"properties":163},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":144,"slug":10,"properties":145,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":149,"manageAffiliations":150,"indexDatabases":151,"url":42,"thumbnailPath":20,"statistic":158,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":146,"eissn":147,"title":148},{"VOID":13},{"VOID":15},{"EN":17},[],[],[152],{"id":26,"indexDatabase":153,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":154,"label":155,"description":156,"key":36,"publicationTags":157,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":159,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":160,"totalCitation":60,"totalCitationByYear":161,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":162,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":164,"pages":166},{"VOID":165},"6",{"VOID":167},"365-371","2008-12-04",2008,false,{"id":172,"createTime":173,"updateTime":174,"relativeEntities":175,"slug":176,"properties":177,"entityType":106,"verifyStatus":107,"verifyTime":174,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":186,"fullTextUrl":20,"authors":187,"publicationType":141,"publisherRelationship":227,"citationCount":20,"citationInfo":20,"publishDate":253,"publishYear":254,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"e9a66e7c-b488-4264-86fb-43963d5cd872","2024-01-04T15:31:04.684+00:00","2024-12-11T23:56:34.252+00:00",[],"An-adaptive-fuzzy-design-for-fault-tolerant-control-of-MIMO-nonlinear-uncertain-systems",{"references":178,"abstract":180,"title":182,"doi":184},{"VOID":179},"J. D. Boskovic, R. K. Mehra. Stable multiple model adaptive flight control for accommodation of a large class of control effector failures[C]\u002F\u002FProceedings of the American Control Conference. New York: IEEE, 1999: 1920–1924.\nX. D. Zhang, T. Parisini, M. M. Polycarpou. Adaptive faulttolerant control of nonlinear uncertain systems: an information-based diagnostic approach[J]. IEEE Transactions on Automatic Control, 2004, 49(8): 1259–1274.\nX. Zhang, Y. Liu, R. Rysdyk, et al. An intelligent hierarchical approach to actuator fault diagnosis and accommodation[C]\u002F\u002FIEEE Aerospace Conference. New York: IEEE, 2006: 1–14.\nH. Xue, J. G. Jiang. Fault detection and accommodation for nonlinear systems using fuzzy neural networks[C]\u002F\u002FCES\u002FIEEE 5th International Power Electronics and Motion Control Conference. New York: IEEE, 2006: 1–5.\nD. Ye, G. Yang. Adaptive fault-tolerant tracking control against actuator faults with application to flight control[J]. IEEE Transactions on Control Systems Technology, 2006, 14(6): 1088–1096.\nG. Tao, S. Chen, X. Tang, et al. Adaptive Control of Systems with Actuator Failures[M]. London: Springer-Verlag, 2004.\nX. Tang, G. Tao, S. M. Joshi. Virtual grouping based adaptive actuator failure compensation for MIMO nonlinear systems[J]. IEEE Transactions on Automatic Control, 2005, 50(11): 1775–1780.\nX. Tang, G. Tao, S. M. Joshi. Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application[J]. Automatica, 2007, 43(11): 1869–1883.\nP. Li, G. Yang. Adaptive fuzzy control of unknown nonlinear systems with actuator failures for robust output tracking[C]\u002F\u002FProceedings of the American Control Conference. New York: IEEE, 2008: 4898–4903.\nP. Li, G. Yang. Adaptive fuzzy fault-tolerant control for unknown nonlinear systems with disturbances[C]\u002F\u002FProceedings of the 47th IEEE Conference on Decision and Control. New York: IEEE, 2008: 417–422.\nL. Wang. Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(2): 146–155.\nB. Chen, C. Lee, Y. Chang. H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach[J]. IEEE Transactions on Fuzzy Systems, 1996, 4(1): 32–43.\nT. J. Koo. Stable model reference adaptive fuzzy control of a class of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 2001, 9(4): 624–636.\nH. Han, C. Su, Y. Stepanenko. Adaptive control of a class of nonlinear systems with nonlinearly parameterized fuzzy approximators[J]. IEEE Transactions on Fuzzy Systems, 2001, 9(2): 315–323.\nM. Hojati, S. Gazor. Hybrid adaptive fuzzy identification and control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(2): 198–210.\nY. Yang, G. Feng, J. Ren. A combined backstepping and smallgain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A, 2004, 34(3): 406–420.\nY. Yang, C. Zhou. Adaptive fuzzy H∞ stabilization for strictfeedback canonical nonlinear systems via backstepping and smallgain approach[J]. IEEE Transactions on Fuzzy Systems, 2005, 13(1): 104–114.\nS. Tong, Y. Li. Direct adaptive fuzzy backstepping control for nonlinear systems[C]\u002F\u002FFirst International Conference on Innovative Computing, Information and Control. Los Alamitos, CA: IEEE Computer Society, 2006: 623–627.\nB. Chen, X. Liu, K. Liu, et al. Direct adaptive fuzzy control of nonlinear strict-feedback systems[J]. Automatica, 2009, 45(6): 1530–1535.\nH. Li, S. Tong. A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems[J]. IEEE Transactions on Fuzzy Systems, 2003, 11(1): 24–34.\nM. Zhang, H. Zhang, D. Liu. Robust adaptive fuzzy output control for nonlinear uncertain systems[C]\u002F\u002FProceedings of the 44th IEEE Conference on Decision and Control. New York: IEEE, 2005: 7846–7851.\nB. Chen, X. Liu, S. Tong. Adaptive fuzzy output tracking control of mimo nonlinear uncertain systems[J]. IEEE Transactions on Fuzzy Systems, 2007, 15(2): 287–300.\nB. Chen, X. Liu, K. Liu, et al. Novel adaptive neural control design for nonlinear MIMO time-delay systems[J]. Automatica, 2009, 45(6): 1554–1560.",{"EN":181},"This paper presents a novel control method for accommodating actuator faults in a class of multiple-input multiple-output (MIMO) nonlinear uncertain systems. The designed control scheme can tolerate both the time-varying lock-in-place and loss of effectiveness actuator faults. In each subsystem of the considered MIMO system, the controller is obtained from a backstepping procedure; an adaptive fuzzy approximator with minimal learning parameterization is employed to approximate the package of unknown nonlinear functions in each design step. Additional control effort is taken to deal with the approximation error and external disturbance together. It is proven that the closed-loop stability and desired tracking performance can be guaranteed by the proposed control scheme. An example is used to show the effectiveness of the designed controller.",{"EN":183},"An adaptive fuzzy design for fault-tolerant control of MIMO nonlinear uncertain systems",{"VOID":185},"10.1007\u002Fs11768-011-8167-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-011-8167-x",[188,205],{"id":189,"sortIndex":130,"researcher":20,"roles":190,"affiliations":191,"properties":202},"72a25830-3998-4933-9e5f-4a140f6cb726",[114],[192],{"id":20,"sortIndex":21,"affiliation":193,"properties":20},{"id":194,"createTime":195,"updateTime":196,"relativeEntities":197,"slug":198,"properties":199,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e5489f1d-fa17-4b64-9f6b-e823592dcb5e","2023-11-26T20:28:07.839+00:00","2025-02-10T15:39:26.800+00:00",[],"College-Of-Information-Science-and-Engineering-Northeastern-University-Shenyang-Liaoning-China",{"title":200},{"VI":201},"College Of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China",{"title":203},{"VI":204},"Guanghong Yang",{"id":206,"sortIndex":21,"researcher":20,"roles":207,"affiliations":208,"properties":224},"d70c5138-1021-4690-bf01-a7aef9799016",[114],[209,217],{"id":20,"sortIndex":21,"affiliation":210,"properties":20},{"id":211,"createTime":212,"updateTime":212,"relativeEntities":213,"slug":20,"properties":214,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"90ccd788-c54b-40a4-84b3-5a496c845b06","2023-12-06T11:51:26.102+00:00",[],{"title":215},{"VI":216},"College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian, China",{"id":218,"sortIndex":130,"affiliation":219,"properties":223},"88448fde-4a1b-45d7-985d-6b8e3b39ca8a",{"id":194,"createTime":195,"updateTime":196,"relativeEntities":220,"slug":198,"properties":221,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":222},{"VI":201},{},{"title":225},{"VI":226},"Ping Li",{"url":186,"publisher":228,"properties":248},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":229,"slug":10,"properties":230,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":234,"manageAffiliations":235,"indexDatabases":236,"url":42,"thumbnailPath":20,"statistic":243,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":231,"eissn":232,"title":233},{"VOID":13},{"VOID":15},{"EN":17},[],[],[237],{"id":26,"indexDatabase":238,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":239,"label":240,"description":241,"key":36,"publicationTags":242,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":244,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":245,"totalCitation":60,"totalCitationByYear":246,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":247,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":249,"pages":251},{"VOID":250},"9",{"VOID":252},"244-250","2011-06-09",2011,{"id":256,"createTime":257,"updateTime":258,"relativeEntities":259,"slug":260,"properties":261,"entityType":106,"verifyStatus":107,"verifyTime":258,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":270,"fullTextUrl":20,"authors":271,"publicationType":141,"publisherRelationship":321,"citationCount":20,"citationInfo":20,"publishDate":347,"publishYear":348,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"95247598-5cdd-4ec9-b258-3cb2e372d7ba","2023-12-27T09:40:19.815+00:00","2025-02-21T23:56:22.814+00:00",[],"Bifurcations-and-chaos-in-indirect-field-oriented-control-of-induction-motors",{"references":262,"abstract":264,"title":266,"doi":268},{"VOID":263},"A. S. de Wit Paul, O. Romeo, M. Iven. Indirect field-oriented control of induction motors is robustly globally stable [J]. Automatica, 1996, 32 (10): 1393–1402.\nA. S. Bazanella, R. Reginatto, R. Valiati. On Hopf bifurcations in indirect field oriented control of induction motors: Designing a robust PI controller [C] Proc. 38th Conf. Decision & Control Phoenix, Arizona USA, 1999: 689–694.\nG. Francisco, S. Francisco, O. Romeo, et al. Hopf bifurcation in indirect field-oriented control of induction motors [J]. Automatica, 2002, 38 (5): 829–835.\nG. Chen. Control and anticontrol of chaos [C] Proc. 1st Int. Conf. Control of Oscillations and Chaos, St. Petersburg, Russia, 1997: 181–186.\nS. Ito, T. Narikiyo. Abrasive machining under wet condition and constant pressing using chaotic rotation [J]. J of the Japan Society for Precision Engineering, 1998, 64(5): 748–752.\nB. Zhang, Z. Li, Z. Mao, et al. A primary study on an erratic behavior and chaotic phenomena of electric machine drive systems [C] Proc. of the Chinese Society for Electric Engineering, 2001, 21(7): 40–45.\nJ. Zhang, Y. Feng. Bifurcation problem and Geometrical Theory of Constant Differential Equation [M]. Beijing: Beijing University Press, 2002.\nJ. P. Eckmann, D. Ruelle. Ergodic theory of chaos [J]. Review Modern Physics, 1985, 57(3): 617–656.",{"EN":265},"Stability of indirect field-oriented control (IFOC) of induction motor drives is greatly influenced by estimated value of rotor time constant. By choosing estimation error of rotor time constant as bifurcation parameter, the conditions of generating Hopf bifurcation in IFOC drives are analyzed. Dynamic responses and Lyapunov exponents show that chaos and limit cycles will arise for some ranges of load torque with certain PI speed controller setting. Stable drives are required for conventional applications, but chaotic rotation can promote efficiency or improve dynamic characteristics of drives. Thus, the study may be a guideline for designing a stable system or an oscillating system.",{"EN":267},"Bifurcations and chaos in indirect field-oriented control of induction motors",{"VOID":269},"10.1007\u002Fs11768-004-0039-1","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-004-0039-1",[272,287,304],{"id":273,"sortIndex":21,"researcher":20,"roles":274,"affiliations":275,"properties":284},"ecdb54c3-5027-4a12-9420-63f091b512cd",[114],[276],{"id":20,"sortIndex":21,"affiliation":277,"properties":20},{"id":278,"createTime":279,"updateTime":279,"relativeEntities":280,"slug":20,"properties":281,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e14ef0d3-58be-4255-b3d5-3cc597aeb63b","2023-12-27T09:40:19.833+00:00",[],{"title":282},{"VI":283},"College of Electric Power, South China University of Technology, Guangzhou Guangdong, China",{"title":285},{"VI":286},"Bo Zhang",{"id":288,"sortIndex":130,"researcher":20,"roles":289,"affiliations":290,"properties":301},"ed560e6f-c656-487f-8e6d-2490e633a480",[114],[291],{"id":20,"sortIndex":21,"affiliation":292,"properties":20},{"id":293,"createTime":294,"updateTime":295,"relativeEntities":296,"slug":297,"properties":298,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"69d6c0e9-33fd-428b-bc54-9100fdea4fbb","2023-12-27T09:40:19.846+00:00","2024-10-12T16:34:35.747+00:00",[],"College-of-Electrical-Engineering-Guangxi-University-Nanning-Guangxi-China",{"title":299},{"VI":300},"College of Electrical Engineering, Guangxi University, Nanning Guangxi, China",{"title":302},{"VI":303},"Yimin Lu",{"id":305,"sortIndex":306,"researcher":20,"roles":307,"affiliations":308,"properties":318},"0df9ed1d-e0ed-45f8-9cd5-28d7d2cf31c4",2,[114],[309],{"id":20,"sortIndex":21,"affiliation":310,"properties":20},{"id":311,"createTime":312,"updateTime":312,"relativeEntities":313,"slug":314,"properties":315,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"1b59bde1-bacb-4cac-8ae0-d882de3d2ae4","2024-04-16T05:34:54.950+00:00",[],"College-of-Automation-Science-and-Engineering-South-China-University-of-Technology-Guangzhou-Guangdong-China",{"title":316},{"EN":317},"College of Automation Science and Engineering, South China University of Technology, Guangzhou Guangdong, China",{"title":319},{"VI":320},"Zongyuan Mao",{"url":270,"publisher":322,"properties":342},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":323,"slug":10,"properties":324,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":328,"manageAffiliations":329,"indexDatabases":330,"url":42,"thumbnailPath":20,"statistic":337,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":325,"eissn":326,"title":327},{"VOID":13},{"VOID":15},{"EN":17},[],[],[331],{"id":26,"indexDatabase":332,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":333,"label":334,"description":335,"key":36,"publicationTags":336,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":338,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":339,"totalCitation":60,"totalCitationByYear":340,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":341,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":343,"pages":345},{"VOID":344},"2",{"VOID":346},"353-357","2004-11-01",2004,{"id":350,"createTime":351,"updateTime":352,"relativeEntities":353,"slug":354,"properties":355,"entityType":106,"verifyStatus":107,"verifyTime":352,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":364,"fullTextUrl":20,"authors":365,"publicationType":141,"publisherRelationship":405,"citationCount":20,"citationInfo":20,"publishDate":431,"publishYear":432,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"c1db33e1-5ee7-4047-ad78-f768fb6de5d8","2024-02-07T13:55:10.736+00:00","2025-02-13T23:55:43.656+00:00",[],"Optimal-source-rate-control-for-adapting-VBR-video-over-CBR-channels",{"references":356,"abstract":358,"title":360,"doi":362},{"VOID":357},"C. Y. Hsu, A. Ortega, A. R. Reibman. Joint selection of source and channel rate for VBR video transmission under ATM policing constraints [J]. IEEE J. on Selected Areas Communications, 1997, 15(6):1016–1028.\nJ. Chen, D. Lin. Optimal bit allocation for coding video signal over ATM network [J]. IEEE J. on Selected Areas Communications, 1997, 15(6):1002–1015.\nC. Y. Hsu, A. Ortega, M. Khansari. Rate control for robust video transmission over bursterror wireless channels[J]. IEEE J. on Selected Areas Communications, 1999, 17(5):756–773.\nJ. Cabrera, A. Ortega, J. I. Ronda. Stochastic rate-control of video coders for wireless channels[J]. IEEE Trans. on Circuits and System for Video Technology, 2002, 12(6):496–510.\nJ. Cabrera, J. I. Ronda, A. Ortega, et al. Stochastic rate-control of interframe video coders for VBR channels[C]\u002F\u002FProc. of IEEE Int. Conf. Image Processing (ICIP). Barcelona: IEEE Press, June 2003:813–116.\nL. Lin, A. Ortega. Bit-rate control using piecewise approximated rate-distortion characteristics [J]. IEEE Trans. on Circuits and System Video Technology, 1998,8(4):446–459.\nD. H. Chyung. Discrete linear optimal control systems with essentially quadratic cost functionals[J]. IEEE Trans. on Automatic Control, 1966, 11(3):404–413.\nD. H. Chyung. An extension of discrete linear optimal control systems with essentially quadratic cost functionals [J]. IEEE Trans. on Automatic Control, 1967,12(2):203–203.\nY. Sakawa. A new algorithm for computing optimal control of discrete-time systems [C]\u002F\u002FProc. of IEEE Tencon’93. Beijing: IEEE Press, June 1993:127–130.",{"EN":359},"In this paper we discuss the source rate control problem of adapting variable bit-rate (VBR) compressed video over constant bit-rate (CBR) channels. Firstly we formulate it as an optimal control problem of a discrete linear system with state and control constraints. Then we apply the discrete maximum principle to get the optimal solution. Experimental results are given in the end. Compared with traditional algorithms, the proposed algorithm is suitable for the coder with continuous output rates, and can achieve the better solution. Our algorithm can be used in both off-line and on-line coding.",{"EN":361},"Optimal source rate control for adapting VBR video over CBR channels",{"VOID":363},"10.1007\u002Fs11768-006-5085-4","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs11768-006-5085-4",[366,383],{"id":367,"sortIndex":130,"researcher":20,"roles":368,"affiliations":369,"properties":380},"96a357d0-5410-41dc-9ac3-6d1dd3a539d5",[114],[370],{"id":20,"sortIndex":21,"affiliation":371,"properties":20},{"id":372,"createTime":373,"updateTime":374,"relativeEntities":375,"slug":376,"properties":377,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"20859a0a-61e9-451e-8019-ed7ee3c84b02","2023-12-07T10:43:53.033+00:00","2025-02-06T17:00:49.181+00:00",[],"Department-of-Automation-Tsinghua-University-Beijing-China",{"title":378},{"VI":379},"Department of Automation, Tsinghua University, Beijing, China",{"title":381},{"VI":382},"Peng 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ATM Forum Traffic Management Specification Version 4.0[S]. af-tm-0056.000, 1996.",{},{"id":20,"text":594,"url":20,"identifiers":595},"R. Jain. Congestion control and traffic management in ATMnetworks: recent advance and a survey[J]. Computer Networks and ISDN System, 1991, 28(13): 1723–1738.",{"doi":596},"10.1016\u002F0169-7552(96)00012-8",{"id":20,"text":598,"url":20,"identifiers":599},"V. Jacobson. Congestion avoidance and control[J]. Computer Communication Review, 1988, 18(4): 314–329.",{"doi":600},"10.1145\u002F52325.52356",{"id":20,"text":602,"url":20,"identifiers":603},"A. Kolarov, G. Ramamurthy. A control-theoretic approach to the design of an explicit rate controller for ABR service[J]. IEEE\u002FACM Transactions on Networking, 1999, 7(5): 741–753.",{"doi":604},"10.1109\u002F90.803387",{"id":20,"text":606,"url":20,"identifiers":607},"S. Mascolo. Congestion control in high-speed communication networks using the Smith principle[J]. Automatica, 1999, 35(12):1921–1935.",{"doi":608},"10.1016\u002FS0005-1098(99)00128-4",{"id":20,"text":610,"url":20,"identifiers":611},"P. F. Quet, B. Ataslar, A. Iftar, et al. Rate-baed flow controllers for communication networks in presence of uncertain time-varying multiple time-delays[J]. Automatica, 2002, 38(6): 917–928.",{"doi":612},"10.1016\u002FS0005-1098(01)00276-X",{"id":20,"text":614,"url":20,"identifiers":615},"S. Tarbouriech, C. T. Abdallah, M. Ariola. Bounded control of multiple-delay systems with applications to ATM networks[C]\u002F\u002F Proceedings of the 40th IEEE Conference on Decision and Control. Piscataway: IEEE Press, 2001: 2315–2320.",{},{"id":20,"text":617,"url":20,"identifiers":618},"M. L. Sichitiu, P. H. Bauer, K. Premaratne. The effect of uncertain time-variant delays in ATM networks with explicit rate feedback: a control theoretic approach[J]. IEEE\u002FACM Transactions on Networking, 2003, 11(4): 628–637.",{"doi":619},"10.1109\u002FTNET.2003.815293",{"id":20,"text":621,"url":20,"identifiers":622},"M. L. Sichitiu, P. H. Bauer. Asymptotic stability of congestion control systems with multiple sources[J]. IEEE Transactions on Automatic Control, 2006, 51(2): 292–298.",{"doi":623},"10.1109\u002FTAC.2005.863531",{"id":20,"text":625,"url":20,"identifiers":626},"R. Q. Hu, D. W. Petr. A predictive self-tuning fuzzy-logic feedback rate controller[J]. IEEE\u002FACM Transactions on Networking, 2000, 8(6): 697–709.",{"doi":627},"10.1109\u002F90.893867",{"id":20,"text":629,"url":20,"identifiers":630},"N. H. Soon, N. Sundararajan, P. Saratchandran. ABR traffic management using minimal resource allocation (neural) networks[J]. Computer Communications, 2002, 25(1): 9–20.",{"doi":631},"10.1016\u002FS0140-3664(01)00331-0",{"id":20,"text":633,"url":20,"identifiers":634},"Y. Ding. A nonlinear PID controller based on fuzzy-tuned immune feedback law[C]\u002F\u002FProceedings of the 3rd World Congress on Intelligent Control and Automation. Piscataway: IEEE Press, 2000: 1576–1580.",{},{"id":20,"text":636,"url":20,"identifiers":637},"T. Ren, Georgi M. Dimirovski and Y. W. Jing. ABR traffic control over ATM network using fuzzy immune-PID controller[C]\u002F\u002FProceedings of the American Control Conference. Piscataway: IEEE Press, 2006: 4876–4881.",{},{"id":20,"text":639,"url":20,"identifiers":640},"J. Kim. Delay and its time-derivative dependent robust stability of time-delayed linear systems with uncertainty[J]. IEEE Transactions on Automatic Control, 2001, 46(5): 789–792.",{"doi":641},"10.1109\u002F9.920802",{"id":20,"text":643,"url":20,"identifiers":644},"L. Wong, F. H. Leung, P. K. Tam. Lyapunov-function-based design of fuzzy logic controllers and its application on combining controllers[J]. IEEE Transactions on Industrial Electronics, 1998, 45(3): 502–509.",{"doi":645},"10.1109\u002F41.679009",{"id":647,"createTime":648,"updateTime":649,"relativeEntities":650,"slug":651,"properties":652,"entityType":106,"verifyStatus":107,"verifyTime":649,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":661,"fullTextUrl":20,"authors":662,"publicationType":141,"publisherRelationship":722,"citationCount":20,"citationInfo":20,"publishDate":748,"publishYear":749,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"3d82edd4-47e2-4dfd-9dec-518133be0769","2024-01-20T07:33:41.175+00:00","2025-01-18T23:53:37.707+00:00",[],"Particle-swarm-optimization-for-time-optimal-control-design",{"references":653,"abstract":655,"title":657,"doi":659},{"VOID":654},"H. Maurer, N. P. Osmolovskii. Second order sufficient conditions for time-optimal bang-bang control. Journal of Control Optimization, 2004, 42(6): 2239–2263.\nB. Christiansen, H. Maurer, Z. Oliver. Optimal control of a voice-coilmotor with coulombic friction. IEEE Conference on Decision and Control. Cancun, Mexico: IEEE, 2008: 1557–1562.\nR. Molher. Nonlinear Systems: Applications to Bilinear Control. New Jersy: Prentice Hall, 1991.\nE. B. Meier, A. E. Bryson Jr. Efficient algorithm for time optimal control of two-link manipulator. Journal of Guiance, Control, and Dynamics, 1990, 13: 859–866.\nH. Lee, K. Teo, V. Rehbock, et al. Control parameterization enhancing technique for time optimal control problems. Dynamic Systems and Applications, 1997, 6: 243–262.\nG. S. Hu, C. J. Ong, C. Teo. An enhanced transcribing scheme for the numerical solution of a class of optimal control problems. Engineering Optimization, 2002, 34(2): 155–173.\nR. Bertrand, R. Epenoy. New smoothing techniques for solving bangbang optimal control problems. Optimal Control Applications and Methods, 2002, 23(4): 171–197.\nC. Y. Kaya, J. L. Nokas. Computations and time-optimal controls. Optimal Control Applications and Methods, 1996, 17(3): 171–185.\nC. Y. Kaya, J. L. Nokas. Computational method for time-optimal switching control. Journal of Optimization Theory and Applications, 2002, 117(1): 69–92.\nC. Y. Kaya, S. K. Lucas, S. T. Simakov. Computations for bangbang constrained optimal control using a mathematical programming formulation. Optimal Control Applications and Methods, 2004, 25(6): 1–14.\nH. Maurer, C. Buskens, J. Kim, et al. Optimization methods for the verification of second order sufficient conditions for bang-bang controls. Optimal Control Applications and Methods, 2005, 26(3): 129–156.\nX. Wu, C. R. McInnes. Memorised quasi-time-fuel-optimal feedback control of perturbed double integrator. Automatica, 2002, 38(8): 1389–1396.\nJ. Kennedy, R. Eberhart. Particle swarm optimization. IEEE Conference on Neural Networks. Perth, Ausralia: IEEE, 1995: 1942–1948.\nR. Eberhart, Y. Shi. Computational Intelligence: Concepts to Implementations. Dutch: Elsevier Inc., 2007.\nZ. Machalewicz, M. Schoenauer. Evolutionary agorithms for constrained parameter optimization problem. Evolutionary Computation, 1996, 4(1): 1–32.\nY. Li, Y. Chen, H. Zhou. Control of ironless permanent magnet linear synchronous motor using fast terminal sliding mode control with iterative learning control. American Control Conference. St. Louis, Missouri, 2009: 5486–5491.\nD. E. Kirk. Optimal Control Theory: An Introduction. New Jersy: Prentice Hall, 1970.\nX. Hu, R. Eberhart, Y. Shi. Engineering optimization with particle swarm. IEEE Symposium on Swarm Intelligence. Indianapolis, Indiana: IEEE, 2003: 53–57.\nZ. Zhan, J. Zhang, Y. Li, et al. Adaptive particle swarm optimization. IEEE Transactions on Systems, Man, and Cybernetics, 2009, 39(6): 1362–1381.",{"EN":656},"In this paper, a particle swarm optimization (PSO) based method is proposed to obtain the time-optimal bang-bang control law for both linear and nonlinear systems. By introducing a penalty function, the method can be modified to deal with systems with constraints. Compared with existing computational methods, the proposed method can be implemented in a straightforward manner. The convergent solutions can be achieved by selecting suitable PSO parameters regardless of the initial guess of the switching times. A double integrator and a third-order nonlinear system are used to demonstrate the effectiveness and robustness of the proposed method. The method is applied to obtain the time-optimal control law for a high performance linear motion positioning system. The results show the practicality of the proposed algorithm.",{"EN":658},"Particle swarm optimization for time-optimal control design",{"VOID":660},"10.1007\u002Fs11768-012-0060-8","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-012-0060-8",[663,678,695,707],{"id":664,"sortIndex":306,"researcher":20,"roles":665,"affiliations":666,"properties":675},"96b87a3c-3781-4a0a-b3f2-797e7581a897",[114],[667],{"id":20,"sortIndex":21,"affiliation":668,"properties":20},{"id":669,"createTime":670,"updateTime":670,"relativeEntities":671,"slug":20,"properties":672,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"0e9fc9ea-cf28-4ba9-b17c-e09b4a154850","2024-01-20T07:33:41.217+00:00",[],{"title":673},{"VI":674},"Department of Electrical and Computer Engineering, Indiana University-Purdue University at Indianapolis (IUPUI), Indianapolis, USA",{"title":676},{"VI":677},"Yaobin Chen",{"id":679,"sortIndex":21,"researcher":20,"roles":680,"affiliations":681,"properties":692},"60354110-791b-4793-85c2-49d2aa4abf8e",[114],[682],{"id":20,"sortIndex":21,"affiliation":683,"properties":20},{"id":684,"createTime":685,"updateTime":686,"relativeEntities":687,"slug":688,"properties":689,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"d2ef003a-9a8a-4bec-9846-ca537e916c23","2023-12-27T05:21:20.630+00:00","2024-11-25T17:47:30.620+00:00",[],"Department-of-Engineering-Mechanics-Tsinghua-University-Beijing-China",{"title":690},{"VI":691},"Department of Engineering Mechanics, Tsinghua University, Beijing, China",{"title":693},{"VI":694},"Yiqiang Li",{"id":696,"sortIndex":130,"researcher":20,"roles":697,"affiliations":698,"properties":704},"9280fb1a-6ca1-4bdc-8427-56ec6c36c923",[114],[699],{"id":20,"sortIndex":21,"affiliation":700,"properties":20},{"id":684,"createTime":685,"updateTime":686,"relativeEntities":701,"slug":688,"properties":702,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":703},{"VI":691},{"title":705},{"VI":706},"Xing Zhang",{"id":708,"sortIndex":456,"researcher":20,"roles":709,"affiliations":710,"properties":719},"4ffa3422-72d3-477f-adbf-d2ce9299fb47",[114],[711],{"id":20,"sortIndex":21,"affiliation":712,"properties":20},{"id":713,"createTime":714,"updateTime":714,"relativeEntities":715,"slug":20,"properties":716,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"d271abdf-c39e-4a52-9212-ce786207a0f1","2024-01-20T07:33:41.231+00:00",[],{"title":717},{"VI":718},"School of Engineering, China Agricultural University, Beijing, China",{"title":720},{"VI":721},"Huixing Zhou",{"url":661,"publisher":723,"properties":743},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":724,"slug":10,"properties":725,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":729,"manageAffiliations":730,"indexDatabases":731,"url":42,"thumbnailPath":20,"statistic":738,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":726,"eissn":727,"title":728},{"VOID":13},{"VOID":15},{"EN":17},[],[],[732],{"id":26,"indexDatabase":733,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":734,"label":735,"description":736,"key":36,"publicationTags":737,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":739,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":740,"totalCitation":60,"totalCitationByYear":741,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":742,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":744,"pages":746},{"VOID":745},"10",{"VOID":747},"365-370","2012-07-01",2012,{"id":751,"createTime":752,"updateTime":753,"relativeEntities":754,"slug":755,"properties":756,"entityType":106,"verifyStatus":107,"verifyTime":753,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":765,"fullTextUrl":20,"authors":766,"publicationType":141,"publisherRelationship":791,"citationCount":20,"citationInfo":20,"publishDate":817,"publishYear":818,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"62e31b62-2f64-426f-8240-90a9f2cdfad5","2024-01-20T01:40:57.219+00:00","2024-10-09T23:45:56.373+00:00",[],"Delay-dependent-stability-criteria-for-recurrent-neural-networks-with-time-varying-delays",{"references":757,"abstract":759,"title":761,"doi":763},{"VOID":758},"C. M. Marcus, R. M. Westervelt. Stability of analog neural networks with delay[J]. Physical Review A, 1989, 39(1): 347–359.\nT. Roska, C. Wu, M. Balsi, et al. Stability and dynamics of delay-type general cellular neural networks[J]. IEEE Transactions on Circuits and Systems I, 1992, 39(2): 487–490.\nK. Gopalsamy, X. He. Delay-independent stability in bi-directional associative memory neural networks[J]. IEEE Transactions on Neural Networks, 1994, 5(6): 998–1002.\nP. P. Civalleri, M. Gilli, L. Pandolfi. On stability of cellular neural networks with delay[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1993, 40(1): 157–165.\nQ. Zhang, X. Wei, J. Xu. New stability conditions for neural networks with constant and variable delays[J]. Chaos, Solitons and Fractals, 2005, 26(5): 1391–1398.\nZ. Zeng, J. Wang. Improved conditions for global exponential stability of recurrent neural networks with time varying delays[J]. IEEE Transactions on Neural Networks, 2006, 17(3): 623–635.\nA. Chen, J. Cao, L. Huang. Global robust stability of interval cellular neural networks with time varying delays[J]. Chaos, Solitons and Fractals, 2005, 23(3): 787–799.\nT. Chen, L. Rong. Robust global exponential stability of Cohen- Grossberg neural networks with time delays[J]. IEEE Transactions on Neural Networks, 2004, 15(1): 203–206.\nT. Ensari, S. Arik. Global stability analysis of neural networks with multiple time varying delays[J]. IEEE Transactions on Automatic Control, 2005, 50(11): 1781–1785.\nN. Ozcan, S Arik. Global robust stability analysis of neural networks with multiple time delays[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2006, 53(1): 166–176.\nX. Liao, J. Wang. Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2003, 50(2): 268–275.\nJ. Cao. Global stability conditions for delayed CNNs[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2001, 48(11): 1330–1333.\nJ. Cao, T. Chen. Globally exponentially robust stability and periodicity of delayed neural networks[J]. Chaos, Solotons and Fractals, 2004, 22(4): 957–963.\nH. Ye, A. N. Michel, K. Wang. Robust stability of nonlinear time-delay systems with applications to neural networks[J]. IEEE Transaction on Circuits and Systems I: Fundamental Theory and Applications, 1996, 43(7): 532–543.\nJ. Peng, H. Qiao, Z. Xu. A new approach to stability of neural networks with time varying delays[J]. Neural Networks, 2002, 15(1):95–103.\nJ. Cao, J. Wang. Global asymptotic and robust stability of recurrent neural networks with time delays[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2005, 52(2):417–426.\nH. Zhang, Z. Wang, D. Liu. Exponential stability analysis of neural networks with multiple time delays[C]\u002F\u002FProceedings of the 2nd International Symposium on Neural Networks-Part I. Berlin: Springer-Verlag, 2005: 142–148.\nY. He, M. Wu, J. She. An improved global asymptotic stability criterion for delayed cellular neural networks[J]. IEEE Transactions on Neural Networks, 2006, 17(1): 1250–1252.\nH. Zhang, Z. Wang, D. Liu. Robust exponential stability of recurrent neural networks with multiple time-varying delays[J]. IEEE Transaction on Circuits and Systems II: Analog and Digital Signal Processing, 2007, 54(8): 730–734.\nH. Zhang, Z. Wang, D. Liu. Global asymptotic stability of recurrent neural networks with multiple time-varying delays[J]. IEEE Transactions on Neural Networks, 2008, 19(5): 855–873.\nT. Ensari, S. Arik. Global stability of a class of neural networks with time varying delay[J]. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2005, 52(3): 126–130.\nW. Wu, B. Cui, X. Lou. Some criteria for asymptotic stability of Cohen-Grossberg neural networks with time-varying delays[J]. Neurocomputing, 2007, 70(4–6): 1085–1088.\nC. Hua, C. Long, X. Guan. New results on stability analysis of neural networks with time varying delays[J]. Physics Letters A, 2006, 352(1): 335–340.\nX. Liao, G. Chen, E. N. Sanchez. Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach[J]. Neural Networks, 2002, 15(7): 855–866.\nS. Xu, Y. Chu, J. Lu. New results on global exponential stability of recurrent neural networks with time-varying delays[J]. Physics Letters A, 2006, 352(4\u002F5): 371–379.\nS. Xu, J. Lam. A new approach to exponential stability analysis of neural networks with time varying delays[J]. Neural Networks, 2006, 19(1): 76–83.\nA. Wan, J. Peng, M. Wang. Exponential stability of a class of generalized neural networks with time-varying delays[J]. Neurocomputing, 2006, 69(7–9): 959–963.\nH. Yang, T. Chu, C. Zhang. Exponential stability of neural networks with variable delays via LMI approach[J]. Chaos, Solitons and Fractals, 2006, 30(1): 133–139.\nY. He, M. Wu, J. She. Delay-dependent exponential stability of delayed neural networks with time-varying delay[J]. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2006, 53(7): 553–557.",{"EN":760},"This paper aims to present some delay-dependent global asymptotic stability criteria for recurrent neural networks with time varying delays. The obtained results have no restriction on the magnitude of derivative of time varying delay, and can be easily checked due to the form of linear matrix inequality. By comparison with some previous results, the obtained results are less conservative. A numerical example is utilized to demonstrate the effectiveness of the obtained results.",{"EN":762},"Delay dependent stability criteria for recurrent neural networks with time varying delays",{"VOID":764},"10.1007\u002Fs11768-009-7134-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-009-7134-2",[767,779],{"id":768,"sortIndex":130,"researcher":20,"roles":769,"affiliations":770,"properties":776},"8ae68e11-028f-4101-9e9e-98ac8ed37bfd",[114],[771],{"id":20,"sortIndex":21,"affiliation":772,"properties":20},{"id":461,"createTime":462,"updateTime":463,"relativeEntities":773,"slug":465,"properties":774,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":775},{"VI":468},{"title":777},{"VI":778},"Huaguang Zhang",{"id":780,"sortIndex":21,"researcher":20,"roles":781,"affiliations":782,"properties":788},"5c5faadc-c4b2-46d7-bf72-4c61c823ebc2",[114],[783],{"id":20,"sortIndex":21,"affiliation":784,"properties":20},{"id":461,"createTime":462,"updateTime":463,"relativeEntities":785,"slug":465,"properties":786,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":787},{"VI":468},{"title":789},{"VI":790},"Zhanshan Wang",{"url":765,"publisher":792,"properties":812},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":793,"slug":10,"properties":794,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":798,"manageAffiliations":799,"indexDatabases":800,"url":42,"thumbnailPath":20,"statistic":807,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":795,"eissn":796,"title":797},{"VOID":13},{"VOID":15},{"EN":17},[],[],[801],{"id":26,"indexDatabase":802,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":803,"label":804,"description":805,"key":36,"publicationTags":806,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":808,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":809,"totalCitation":60,"totalCitationByYear":810,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":811,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":813,"pages":815},{"VOID":814},"7",{"VOID":816},"9-13","2009-02-26",2009,{"id":820,"createTime":821,"updateTime":822,"relativeEntities":823,"slug":824,"properties":825,"entityType":106,"verifyStatus":107,"verifyTime":822,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":834,"fullTextUrl":20,"authors":835,"publicationType":141,"publisherRelationship":863,"citationCount":20,"citationInfo":20,"publishDate":888,"publishYear":169,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"e19550eb-d6e8-4414-a3dc-88ce601fe5ff","2024-01-05T03:01:14.196+00:00","2025-01-28T23:43:15.181+00:00",[],"Adaptive-coordinated-control-of-engine-speed-and-battery-charging-voltage",{"references":826,"abstract":828,"title":830,"doi":832},{"VOID":827},"R. Saeks, C. J. Cox, J. Neidhoefer, et al. Adaptive control of a hybrid electric vehicle[J]. IEEE Transactions on Intelligent Transportation Systems, 2002, 3(4): 213–234.\nG. Fiengo, C. Di Fiore, D. Lepore, et al. Auxiliary power unit control for hybrid electric vehicle[C]\u002F\u002FEuropean Control Conference. Hertford, UK: IEE-Institute of Electrical Engineering, 2003: 2339–2344.\nM. Gokasan, S. Bogosyan, D. J. Goering. Sliding mode based powertrain control for efficiency improvement in series hybrid electric vehicles[J]. IEEE Transactions on Power Electronics, 2006, 21(3): 779–790.\nB. He, M. Ou Yang. Robust LPV control of diesel auxiliary power unit for seies hybrid electric vehicles[J]. IEEE Transactions on Power Electronics, 2006, 21(3): 791–798.\nF. Yang, K. Zheng, T. Shen, et al. Coordinated nonlinear speed control approach for SI engine with alternator[J]. Proceedings of the IEEE, 2007, 95(4): 796–805.\nA. Stotsky, B. Egardt, S. Eriksson. Variable structure control of engine idle speed control with estimation of unmeasurable disturbances[J]. ASME Journal of Dynamic Systems, Measurement and Control, 2000, 122(4): 599–603.\nV. Caliskan, D. J. Perreault, T. M. Jahns, et al. Analysis of three-phase recifiers with constant-voltage loads[J]. IEEE Transaction on Circuits and System 1: Fundamental Theory and Applications, 2003, 50(9): 1220–1226.\nD.J. Perreault, V. Caliskan. Automotive power generation and control[J]. IEEE Transactions on Power Electronics, 2004, 19(3): 613–630.",{"EN":829},"In this paper, the control problem of auxiliary power unit (APU) for hybrid electric vehicles is investigated. An adaptive controller is provided to achieve the coordinated control between the engine speed and the battery charging voltage. The proposed adaptive coordinated control laws for the throttle angle of the engine and the voltage of the power-converter can guarantee not only the asymptotic tracking performance of the engine speed and the regulation of the battery charging voltage, but also the robust stability of the closed loop system under external load changes. Simulation results are given to verify the performance of the proposed adaptive controller.",{"EN":831},"Adaptive coordinated control of engine speed and battery charging voltage",{"VOID":833},"10.1007\u002Fs11768-008-7189-5","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-008-7189-5",[836,851],{"id":837,"sortIndex":21,"researcher":20,"roles":838,"affiliations":839,"properties":848},"3b721aef-bd96-4e1b-bcb1-f20b8a4a1c6f",[114],[840],{"id":20,"sortIndex":21,"affiliation":841,"properties":20},{"id":842,"createTime":843,"updateTime":843,"relativeEntities":844,"slug":20,"properties":845,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a169b644-4f64-4c6c-8339-49a432df3946","2024-01-04T22:32:21.264+00:00",[],{"title":846},{"VI":847},"Institute of Electrical Engineering, Yanshan University, Qinhuangdao Hebei, China",{"title":849},{"VI":850},"Jiangyan Zhang",{"id":852,"sortIndex":130,"researcher":20,"roles":853,"affiliations":854,"properties":860},"f8d863b8-e7cb-4756-9528-b3478750be14",[114],[855],{"id":20,"sortIndex":21,"affiliation":856,"properties":20},{"id":842,"createTime":843,"updateTime":843,"relativeEntities":857,"slug":20,"properties":858,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":859},{"VI":847},{"title":861},{"VI":862},"Xiaohong Jiao",{"url":834,"publisher":864,"properties":884},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":865,"slug":10,"properties":866,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":870,"manageAffiliations":871,"indexDatabases":872,"url":42,"thumbnailPath":20,"statistic":879,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":867,"eissn":868,"title":869},{"VOID":13},{"VOID":15},{"EN":17},[],[],[873],{"id":26,"indexDatabase":874,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":875,"label":876,"description":877,"key":36,"publicationTags":878,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":880,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":881,"totalCitation":60,"totalCitationByYear":882,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":883,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":885,"pages":886},{"VOID":165},{"VOID":887},"69-73","2008-03-08",{"id":890,"createTime":891,"updateTime":892,"relativeEntities":893,"slug":894,"properties":895,"entityType":106,"verifyStatus":107,"verifyTime":892,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":904,"fullTextUrl":20,"authors":905,"publicationType":141,"publisherRelationship":935,"citationCount":20,"citationInfo":20,"publishDate":960,"publishYear":749,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"f527de56-9375-4d80-93c9-484fa0e274b4","2024-01-04T04:22:34.712+00:00","2025-01-01T23:37:34.012+00:00",[],"Identification-of-Hammerstein-systems-with-asymmetric-dead-zone-nonlinearities-using-canonical-parameterized-model",{"references":896,"abstract":898,"title":900,"doi":902},{"VOID":897},"T. Kara, I. Eker. Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments. Energy Conversion and Management, 2004, 45(7\u002F8): 1087–1106.\nM. Jelali. Estimation of valve stiction in control loops using separable least-squares and global search algorithms. Journal of Process Control, 2008, 18(7\u002F8): 632–642.\nT. Kara, I. Eker. Experimental nonlinear identification of a two mass system. Proceedings of the IEEE Conference on Control Applications. Istanbul, Turkey: IEEE, 2003: 66–71.\nX. Gu, Y. Bao, Z. Lang. A parameter identification method for a class of discrete-time nonlinear systems. Proceedings of the 12th World Congress on Mathematics and Computers in Simulation. Cetraro: IMACS, 1988: 627–629.\nF. Giri, Y. Rochdi, F. Z. Chaoui. Hammerstein systems identification in presence of hard nonlinearities of preload and dead-zone type. IEEE Transactions on Automatic Control, 2009, 54(9): 2174–2178.\nJ. Voros. Parameter identification of discontinuous hammerstein systems. Automatica, 1997, 33(6): 1141–1146.\nE. Bai. Identification of linear systems with hard input nonlinearities of known structure. Automatica, 2002, 38(5): 853–860.\nJ. Voros. Recursive identification of Hammerstein systems with discontinuous nonlinearities containing dead-zones. IEEE Transactions on Automatic Control, 2003, 48(12): 2203–2206.\nY. Tan, R. Dong, R. Li. Recursive identification of sandwich systems with dead zone and application. IEEE Transactions on Control Systems Technology, 2009, 17(4): 945–951.\nS. Wang, X. Huang, K. M. Junaid. Configuration of continuous piecewise-linear neural networks. IEEE Transactions on Neural Networks, 2008, 19(8): 1431–1444.\nY. Wang, Y. Li, X. Huang, et al. Constructive PWL neural network approximation. Electric Machines and Control, 2008, 12(3): 319–323.\nF. Z. Chaoui, F. Giri, Y. Rochdi, et al. System identification based on Hammerstein model. Inernational Journal of Control, 2005, 78(6): 430–442.",{"EN":899},"A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities. The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone, based on which a universal-type parametric model can be established to approximate the entire system. This model can be established without separating the nonlinear part from the linear part. The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm. Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.",{"EN":901},"Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model",{"VOID":903},"10.1007\u002Fs11768-012-0175-y","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11768-012-0175-y",[906,923],{"id":907,"sortIndex":21,"researcher":20,"roles":908,"affiliations":909,"properties":920},"e591f25b-8caa-4506-91c5-5380fab3f684",[114],[910],{"id":20,"sortIndex":21,"affiliation":911,"properties":20},{"id":912,"createTime":913,"updateTime":914,"relativeEntities":915,"slug":916,"properties":917,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"804a5e22-2575-4ee3-95ae-22e6591c5a1a","2023-12-25T00:16:32.846+00:00","2025-01-05T09:13:44.533+00:00",[],"School-of-Automation-Beijing-Institute-of-Technology-Beijing-China",{"title":918},{"VI":919},"School of Automation, Beijing Institute of Technology, Beijing, China",{"title":921},{"VI":922},"Xiaohua Lü",{"id":924,"sortIndex":130,"researcher":20,"roles":925,"affiliations":926,"properties":932},"714666f8-fe85-4804-afb9-47c53a70e97d",[114],[927],{"id":20,"sortIndex":21,"affiliation":928,"properties":20},{"id":912,"createTime":913,"updateTime":914,"relativeEntities":929,"slug":916,"properties":930,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":931},{"VI":919},{"title":933},{"VI":934},"Xuemei Ren",{"url":904,"publisher":936,"properties":956},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":937,"slug":10,"properties":938,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":942,"manageAffiliations":943,"indexDatabases":944,"url":42,"thumbnailPath":20,"statistic":951,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":939,"eissn":940,"title":941},{"VOID":13},{"VOID":15},{"EN":17},[],[],[945],{"id":26,"indexDatabase":946,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":947,"label":948,"description":949,"key":36,"publicationTags":950,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":952,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":953,"totalCitation":60,"totalCitationByYear":954,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":955,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":957,"pages":958},{"VOID":745},{"VOID":959},"511-516","2012-11-01",{"id":962,"createTime":963,"updateTime":964,"relativeEntities":965,"slug":966,"properties":967,"entityType":106,"verifyStatus":107,"verifyTime":964,"verifyNote":108,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":976,"fullTextUrl":20,"authors":977,"publicationType":141,"publisherRelationship":1017,"citationCount":20,"citationInfo":20,"publishDate":1043,"publishYear":1044,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":170},"ce2c23bb-30a1-427a-8404-9819bd216c23","2023-12-07T14:59:04.107+00:00","2024-12-06T23:26:27.322+00:00",[],"Adaptive-sampling-immune-algorithm-solving-joint-chance-constrained-programming",{"references":968,"abstract":970,"title":972,"doi":974},{"VOID":969},"W. van Ackooij, R. Zorgati, R. Henrion, et al. Chance constrained programming and its applications to energy management. Stochastic Optimization — Seeing the Optimal for the Uncertain. I. Dritsas (Ed.). Rijeka: InTech, 2011: 291–320.\nB. Liu, R. Zhao. Stochastic Programming and Fuzz Programming. Beijing: Tsinghua University Press, 1998.\nS. Ahmed, A. Shapiro. Solving chance-constrained stochastic programs via sampling and integer programming. INFORMS: Tutorials in Operations Research. Washington, 2008: http:\u002F\u002Fwww2.isye.gatech.edu\u002F?sahmed\u002Fcctutorial.pdf.\nA. Nemirovski, A. Shapiro. Convex approximations of chance constrained programs. Society for Industrial and Applied Mathematics, 2006, 17(4): 969–996.\nL. Hong, Y. Yang, L. Zhang. Sequential convex approximations to joint chance constrained programs: A Monte Carlo approach. Operations Research, 2011, 59(3): 617–630.\nR. Henrion, C. Strugarek. Convexity of chance constraints with independent random variables. Computational Optimization and application, 2008, 41(2): 263–276.\nS. Ahmed. Convex relaxations of chance constrained optimization problems. Optimization Letters, 2013: DOI 10.1007\u002Fs11590-013-0624-7.\nD. Dasgupta, S. Yu, F. Nino. Recent advances in artificial immune systems: Models and applications. Applied Soft Computing, 2011, 11(2): 1574–1587.\nA. Simões, E. Costa. CHC-based algorithms for the dynamic traveling salesman problem. Applications of Evolutionary Computation. Heidelberg: Springer-Verlag, 2011: 354–363.\nK. Trojanowski, S. T. Wierzchoń. Immune-based algorithms for dynamic optimization. Information Sciences, 2009, 179(10): 1495–1515.\nL. N. de Castro, J. Timmis. Artificial Immune Systems. A New Computational Iintelligence Approach. London: Springer-Verlag, 2002.\nV. S. Aragó, S. C. Esquivel. Optimizing constrained problems through a T-Cell. Journal of Computer Science and Technology, 2008, 8(3):158–165.\nA. Shapiro. Monte Carlo simulation approach to stochastic programming. Proceedings of the Winter Simulation Simulation Conference. Arlington: IEEE, 2001: 428–431.\nJ. Luedtke, S. Ahmed. A sample approximation approach for optimization with probabilistic constraints. SIAM Journal on Optimization, 2008, 19(2): 674–699.\nB. K. Pagnoncelli, S. Ahmed, A. Shapiro. Sample average approximation method for chance constrained programming: Theory and applications. Journal of Optimization Theory and Applications, 2009, 142(2): 399–416.\nB. Liu, R. Zhao, G. Wang. Uncertainty Programming and Its Applications. Beijing: Tsinghua University Press, 2003.\nX. Ning. Solving stochastic chance-constrained programming problems with hybrid intelligent algorithm. Computer Engineering and Applications, 2010, 46(22): 43–46.\nC. A. Poojari, B. Varghese. Genetic algorithm based technique for solving chance constrained problems. European Journal of Operational Research, 2008, 185(3): 1128–1154.\nM. Brand. Reformulation of general chance constrained problems using the penalty functions. Stochastic Programming E-print Series (SPEPS), 2010: http:\u002F\u002Fedoc.hu-berlin.de\u002Fseries\u002Fspeps\u002F2010-2\u002FPDF\u002F2.pdf.\nJ. L. Higle, L. Zhao. Adaptive and Nonadaptive Samples in Solving Stochastic Linear Programs: A Computational Investigation. Tucson: The University of Arizona, 2004.\nD. H. Loughlin, S. R. Ranjithan. Chance-constrained genetic algorithms. Proceedings of the Genetic and Evolutionary Computation Conference. San Francisco: Morgan Kaufmann, 1999: 369–376.\nC. Chen, J. Lin. Simulation budget allocation for further enhancing the efficiency of ordinal optimization. Discrete Event Dynamic Systems: Theory and Applications, 2000, 10(3): 251–270.\nC. Chen, D. He. Efficient simulation budget allocation for selecting an optimal subset. Journal on Computing, 2008, 20(4): 579–595.\nK. H. Sahin, U. M. Diwekar. Better optimization of nonlinear uncertain systems (BONUS): A new algorithm for stochastic programming using reweighting through kernel density estimation. Annals of Operations Research, 2004, 132(1\u002F4): 47–68.\nZ. Zhang. Noisy immune optimization for chance-constrained programming problems. Applied Mechanics and Materials, 2011, 48(49): 740–744.\nZ. Zhang, X. Tu. Immune algorithm with adaptive sampling in noisy environments and its application to stochastic optimization problems. IEEE Computational Intelligence Magazine, 2007, 2(4): 29–40.\nM. W. Tanner. New Solution Methods for Joint Chance-constrained Stochastic Programs with Random Left-hand Side. Texas: Texas A & M University, 2009.\nM. W. Tanner, L. Ntaimo. IIS branch-and-cut for joint chance-constrained programs with random technology matrices. European Journal of Operational Research, 2010, 207(1): 290–296.\nU. Özcan. Balancing stochastic two-sided assembly lines: A chanceconstrained, piecewise-linear, mixed integer program and a simulated annealing algorithm. European Journal of Operational Research, 2010, 205(1): 81–97.\nQ. Bin. An immune algorithm for optional selection problem of investment projects. The 5th International Conference on Natural Computation. Tianjin: IEEE, 2009: 8–11.\nS. Mao, Y. Cheng, X. Pu. Probabilistic Theory and Mathematical Statistic Tutorial. Beijing: Higher Education Press, 2004.\nX. Huang, Z. Zhang, C. He, et al. Modern Intelligent Algorithm: Theory and Applications. Beijing: Science Press, 2005.",{"EN":971},"This work investigates one immune optimization algorithm in uncertain environments, solving linear or nonlinear joint chance-constrained programming with a general distribution of the random vector. In this algorithm, an a priori lower bound estimate is developed to deal with one joint chance constraint, while the scheme of adaptive sampling is designed to make empirically better antibodies in the current population acquire larger sample sizes in terms of our sample-allocation rule. Relying upon several simplified immune metaphors in the immune system, we design two immune operators of dynamic proliferation and adaptive mutation. The first picks up those diverse antibodies to achieve proliferation according to a dynamical suppression radius index, which can ensure empirically potential antibodies more clones, and reduce noisy influence to the optimized quality, and the second is a module of genetic diversity, which exploits those valuable regions and finds those diverse and excellent antibodies. Theoretically, the proposed approach is demonstrated to be convergent. Experimentally, the statistical results show that the approach can obtain satisfactory performances including the optimized quality, noisy suppression and efficiency.",{"EN":973},"Adaptive sampling immune algorithm solving joint chance-constrained programming",{"VOID":975},"10.1007\u002Fs11768-013-1186-z","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs11768-013-1186-z",[978,993,1005],{"id":979,"sortIndex":130,"researcher":20,"roles":980,"affiliations":981,"properties":990},"c6006677-b424-44ba-a0a6-f61ae6c4e592",[114],[982],{"id":20,"sortIndex":21,"affiliation":983,"properties":20},{"id":984,"createTime":985,"updateTime":985,"relativeEntities":986,"slug":20,"properties":987,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e9f1ce2d-734a-41e6-941c-94fa8ce9a781","2023-12-07T14:59:04.147+00:00",[],{"title":988},{"VI":989},"Institute of System Science & Information Technology, College of Science, Guizhou University, Guiyang Guizhou, China",{"title":991},{"VI":992},"Lei Wang",{"id":994,"sortIndex":306,"researcher":20,"roles":995,"affiliations":996,"properties":1002},"c895a9d9-e275-494d-a105-5c2b5f3f684d",[114],[997],{"id":20,"sortIndex":21,"affiliation":998,"properties":20},{"id":984,"createTime":985,"updateTime":985,"relativeEntities":999,"slug":20,"properties":1000,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1001},{"VI":989},{"title":1003},{"VI":1004},"Min Liao",{"id":1006,"sortIndex":21,"researcher":20,"roles":1007,"affiliations":1008,"properties":1014},"2b47793e-2d78-4bef-aa65-76a1fc62026c",[114],[1009],{"id":20,"sortIndex":21,"affiliation":1010,"properties":20},{"id":984,"createTime":985,"updateTime":985,"relativeEntities":1011,"slug":20,"properties":1012,"entityType":124,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1013},{"VI":989},{"title":1015},{"VI":1016},"Zhuhong Zhang",{"url":976,"publisher":1018,"properties":1038},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1019,"slug":10,"properties":1020,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1024,"manageAffiliations":1025,"indexDatabases":1026,"url":42,"thumbnailPath":20,"statistic":1033,"gsStatistic":20,"type":86,"analyzePriority":20},[],{"issn":1021,"eissn":1022,"title":1023},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1027],{"id":26,"indexDatabase":1028,"url":39,"indexYears":40,"academicFieldIds":20,"indexDatabaseRanking":41},{"id":28,"createTime":29,"updateTime":30,"relativeEntities":1029,"label":1030,"description":1031,"key":36,"publicationTags":1032,"standard":20},[],{"EN":33,"VI":33},{"EN":33,"VI":35},[38],{"impactFactor":21,"impactFactorByYear":1034,"i10Index":49,"i10IndexLast5Year":21,"totalPublication":50,"totalPublicationByYear":1035,"totalCitation":60,"totalCitationByYear":1036,"totalCitationPerPublication":72,"totalCitationPerPublicationByYear":1037,"hindexLast5Year":85,"hindex":85},{"2012":45,"2013":46,"2014":47,"2015":48},{"2003":52,"2004":53,"2005":54,"2006":54,"2007":53,"2008":55,"2009":55,"2010":56,"2011":57,"2012":58,"2013":59},{"2003":62,"2004":63,"2005":64,"2006":65,"2007":56,"2008":66,"2009":67,"2010":68,"2011":69,"2012":70,"2013":71},{"2003":74,"2004":75,"2005":76,"2006":77,"2007":78,"2008":79,"2009":80,"2010":81,"2011":82,"2012":83,"2013":84},{"volume":1039,"pages":1041},{"VOID":1040},"11",{"VOID":1042},"237-246","2013-05-05",2013]