State filtering and parameter estimation for state space systems with scarce measurements

Signal Processing - Tập 104 - Trang 369-380 - 2014
Feng Ding1,2
1Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China
2Control Science and Engineering Research Center, Jiangnan University, Wuxi 214122, PR China

Tài liệu tham khảo

Scarpiniti, 2013, Nonlinear spline adaptive filtering, Signal Process., 93, 772, 10.1016/j.sigpro.2012.09.021 Zhang, 2011, Robust FIR equalization for time-varying communication channels with intermittent observations via an LMI approach, Signal Process., 91, 1651, 10.1016/j.sigpro.2011.01.011 Li, 2012, Robust H-infinity filtering for nonlinear stochastic systems with uncertainties and Markov delays, Automatica, 48, 159, 10.1016/j.automatica.2011.09.045 Shi, 2010, Kalman filter based identification for systems with randomly missing measurements in a network environment, Int. J. Control, 83, 538, 10.1080/00207170903273987 Shi, 2009, Output feedback stabilization of networked control systems with random delays modeled by Markov chains, IEEE Trans. Autom. Control, 54, 1668, 10.1109/TAC.2009.2020638 Shi, 2011, Robust mixed H-2/H-infinity control of networked control systems with random time delays in both forward and backward communication links, Automatica, 47, 754, 10.1016/j.automatica.2011.01.022 Fang, 2010, Genetic adaptive state estimation with missing input/output data, Proc. Inst. Mech. Eng., Part I, J. Syst. Control Eng., 224, 611, 10.1243/09596518JSCE888 Ding, 2014, Combined state and least squares parameter estimation algorithms for dynamic systems, Appl. Math. Model., 38, 403, 10.1016/j.apm.2013.06.007 Vörös, 2003, Recursive identification of Hammerstein systems with discontinuous nonlinearities containing dead-zones, IEEE Trans. Autom. Control, 48, 2203, 10.1109/TAC.2003.820146 Liu, 2010, Convergence of stochastic gradient algorithm for multivariable ARX-like systems, Comput. Math. Appl., 59, 2615, 10.1016/j.camwa.2010.01.030 Yu, 2010, Identification of Hammerstein output-error systems with two-segment nonlinearities, J. Control Intell. Syst., 38, 194 Ding, 2014, Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems, Signal Process., 97, 31, 10.1016/j.sigpro.2013.10.018 Wang, 2014, Least squares algorithm for an input nonlinear system with a dynamic subspace state space model, Nonlinear Dyn., 75, 49, 10.1007/s11071-013-1048-8 Ding, 2013, Decomposition based fast least squares algorithm for output error systems, Signal Process., 93, 1235, 10.1016/j.sigpro.2012.12.013 Albertos, 1999, Output prediction under scarce data operation, Automatica, 35, 1671, 10.1016/S0005-1098(99)00078-3 Wallin, 2001, Extensions to “Output prediction under scarce data operation, Automatica, 37, 2069, 10.1016/S0005-1098(01)00161-3 Sanchis, 2007, Design of robust output predictors under scarce measurements with time-varying delays, Automatica, 43, 281, 10.1016/j.automatica.2006.08.016 Gibson, 2005, Robust maximum-likelihood estimation of multivariable dynamic systems, Automatica, 41, 1667, 10.1016/j.automatica.2005.05.008 Raghavan, 2006, Identification of chemical processes with irregular output sampling, Control Eng. Pract., 14, 467, 10.1016/j.conengprac.2005.01.015 Sanchis, 2002, Recursive identification under scarce measurements, Automatica, 38, 535, 10.1016/S0005-1098(01)00236-9 Ding, 2010, Least squares parameter estimation with irregularly missing data, Int. J. Adapt. Control Signal Process., 24, 540 Ding, 2009, Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems, Automatica, 45, 324, 10.1016/j.automatica.2008.08.007 Ding, 2010, Time series AR modeling with missing observations based on the polynomial transformation, Math. Comput. Model., 51, 527, 10.1016/j.mcm.2009.11.016 Liu, 2014, An efficient hierarchical identification method for general dual-rate sampled-data systems, Automatica, 50, 962, 10.1016/j.automatica.2013.12.025 Ding, 2010, Partially coupled stochastic gradient identification methods for non-uniformly sampled systems, IEEE Trans. Autom. Control, 55, 1976, 10.1109/TAC.2010.2050713 Ding, 2011, Parameter estimation with scarce measurements, Automatica, 47, 1646, 10.1016/j.automatica.2011.05.007 Ding, 2010, Multi-innovation least squares identification for linear and pseudo-linear regression models, IEEE Trans. Syst. Man Cybern. Part B: Cybern., 40, 767, 10.1109/TSMCB.2009.2028871 Ljung, 1999 Ding, 2005, Hierarchical identification of lifted state-space models for general dual-rate systems, IEEE Trans. Circuits Syst. I: Regul. Pap., 52, 1179, 10.1109/TCSI.2005.849144 Goodwin, 1984 Viberg, 1995, Subspace-based methods for the identification of linear time-invariant systems, Automatica, 31, 1835, 10.1016/0005-1098(95)00107-5 Ding, 2012, Performance analysis of the auxiliary model based least squares identification algorithm for one-step state delay systems, Int. J. Comput. Math., 89, 2019, 10.1080/00207160.2012.698008 Ljung, 1979, Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems, IEEE Trans. Autom. Control, 24, 36, 10.1109/TAC.1979.1101943 Li, 2001, Identification of fast-rate models from multirate data, Int. J. Control, 74, 680, 10.1080/00207170010018904 Li, 2003, Application of dual-rate modeling to CCR octane quality inferential control, IEEE Trans. Control Syst. Technol., 11, 43, 10.1109/TCST.2002.806433 Sheng, 2005, Optimal filtering for multirate systems, IEEE Trans. Circuits Syst. II: Express Br., 52, 228, 10.1109/TCSII.2004.842009 Liu, 2010, Least squares based iterative identification for a class of multirate systems, Automatica, 46, 549, 10.1016/j.automatica.2010.01.007 Ding, 2014, Hierarchical parameter estimation algorithms for multivariable systems using measurement information, Inf. Sci., 10.1016/j.ins.2014.02.103 Hu, 2013, Iterative and recursive least squares estimation algorithms for moving average systems, Simul. Model. Pract. Theory, 34, 12, 10.1016/j.simpat.2012.12.009 Wang, 2014, Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems, Appl. Math. Lett., 29, 36, 10.1016/j.ins.2014.02.103 Ding, 2013, Two-stage least squares based iterative estimation algorithm for CARARMA system modeling, Appl. Math. Model., 37, 4798, 10.1016/j.apm.2012.10.014 Ding, 2013, Coupled-least-squares identification for multivariable systems, IET Control Theory Appl., 7, 68, 10.1049/iet-cta.2012.0171 Liu, 2009, Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model, Appl. Math. Comput., 215, 1477, 10.1016/j.amc.2009.07.012 Liu, 2013, Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises, Int. J. Comput. Math., 90, 1840, 10.1080/00207160.2013.772143 Ding, 2013, Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle, IET Control Theory Appl., 7, 176, 10.1049/iet-cta.2012.0313 Carini, 2013, Efficient adaptive identification of linear-in-the-parameters nonlinear filters using periodic input sequences, Signal Process., 93, 1210, 10.1016/j.sigpro.2012.12.012 Mileounis, 2013, A sparsity driven approach to cumulant based identification and order determination, Signal Process., 93, 1892, 10.1016/j.sigpro.2013.02.006 Wang, 2013, Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle, Inf. Sci., 222, 203, 10.1016/j.ins.2012.07.064 Hu, 2014, Recursive extended least squares parameter estimation for Wiener nonlinear systems with moving average noises, Circuits Syst. Signal Process., 33, 655, 10.1007/s00034-013-9652-x