Robust consensus braking algorithm for distributed EMUs with uncertainties

IET Control Theory and Applications - Tập 13 Số 17 - Trang 2766-2774 - 2019
Jing He1, Buchong Yang1, Changfan Zhang1, Jianhua Liu1, Songan Mao2, Laicheng Shi1, Xiang Cheng3
1School of Electrical and Information Engineering, Hunan University of Technology, ZhuZhou, 412007 Hunan, People's Republic of China
2School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
3CRRC Zhuzhou Electric Co., Ltd, ZhuZhou, 412007 Hunan, People's Republic of China

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Tài liệu tham khảo

Liu Z., 2016, Stability research of high‐speed railway EMUs and traction network cascade system considering impedance matching, IEEE Trans. Ind. Appl., 52, 4315, 10.1109/TIA.2016.2574770

Yan X., 2016, Moving horizon optimization of dynamic trajectory planning for high‐speed train operation, IEEE Trans. Intell. Transp. Syst., 17, 548

Ning B., 2017, Technology and application of train operation control system for china rail transit system, J. China Railway Soc., 39, 1

Wang J., 2016, Distributed coordinated tracking control for a class of uncertain multiagent systems, IEEE Trans. Autom. Control., 67, 3423

Yin J., 2017, Research and development of automatic train operation for railway transportation systems: a survey, Transp. Res. C Emerging Techn., 85, 548, 10.1016/j.trc.2017.09.009

Faieghi M., 2014, Robust adaptive cruise control of high speed trains, Isa Trans., 53, 533, 10.1016/j.isatra.2013.12.007

Zhang M., 2014, Backstepping automatic stop control of urban rail vehicles, J. Xian Jiaotong Univ., 48, 136

Zhang M., 2015, Design of urban rail vehicle brake controller based on Krasovskii functionals, J. Ji Lin Univ., 45, 104

10.1109/TITS.2013.2290310

Xue L., 2017, Neural adaptive fault‐tolerant control for high‐speed trains with input saturation and unknown disturbance, Neurocomputing., 260, 1038

Song Q., 2014, Adaptive backstepping control of train systems with traction/braking dynamics and uncertain resistive forces, Vehicle Syst. Dyn., 49, 1441, 10.1080/00423114.2010.520084

10.1016/j.automatica.2013.11.008

Su H., 2018, Positive edge consensus of complex networks, IEEE Trans. Syst. Man Cybern. Syst., 48, 2242, 10.1109/TSMC.2017.2765678

10.1109/TCSII.2017.2709300

10.1109/TAC.2018.2845694

Ren W., 2010, Consensus algorithms for double‐integrator dynamics, IEEE Trans. Autom. Control., 53, 1503, 10.1109/TAC.2008.924961

Xu C., 2015, Containment for linear multi‐agent systems with exogenous disturbances, Neurocomputing., 160, 206, 10.1016/j.neucom.2015.02.008

10.1007/s11768-016-6082-x

Ren W., 2008, Distributed consensus in multi‐vehicle cooperative control, Commun. Control Eng., 27, 71

Zhang R., Int. Conf. on Collaboration Technologies and Systems

Zhu B., 2015, Nonlinear trajectory tracking control for heavy‐haul trains, Ifac Papersonline., 352, 41, 10.1016/j.ifacol.2015.09.157

Li S., 2015, Coordinated cruise control for high‐speed train movements based on a multi‐agent model, Transp. Res. C Emerging Techn., 56, 281, 10.1016/j.trc.2015.04.016

Zhao Y., 2017, Distributed cruise control of high‐speed trains, J. Franklin Inst., 354, 6044, 10.1016/j.jfranklin.2017.07.004

Li S., 2017, Adaptive coordinated control of multiple high‐speed trains with input saturation, Nonlinear Dyn., 83, 2157, 10.1007/s11071-015-2472-8

10.1016/j.jfranklin.2015.01.035