Combined finite-time state feedback for high-speed train systems with time-varying delays and disturbances

被引：4
|
作者：
Tong, Yinghao [1 ]
Ren, Zhengyun [1 ]
Tong, Dongbing [2 ]
Fan, Zhiping [1 ]
Feng, Xue [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2024年 / 34卷 / 03期
基金：
中国国家自然科学基金;
关键词：
finite-time; high-speed train systems; state estimation; state feedback; time-varying delay; CRUISE CONTROL; JUMP SYSTEMS; OBSERVER; UNCERTAINTIES; TRACKING;
D O I：
10.1002/rnc.7076
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, finite-time state estimation and control problems are considered for high-speed train systems. First of all, dynamic error systems of the high-speed trains are modeled as nonlinear systems with time-varying delays and disturbances. Secondly, finite-time state estimators and finite-time controllers are designed for dynamic error systems, a combined finite-time state feedback structure is obtained. Then based on the Lyapunov stability theory and the finite-time stability theory, finite-time bounded conditions of high-speed train dynamic error systems and estimation error systems are obtained. Finally, the feasibility of designed control method is proved by a example.
引用
收藏
页码：2184 / 2205
页数：22
相关论文
共 50 条
  • [1] Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances
    Yinghao Tong
    Zhengyun Ren
    Dongbing Tong
    Zhiping Fan
    Xue Feng
    Neural Processing Letters, 2023, 55 : 7907 - 7931
  • [2] Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances
    Tong, Yinghao
    Ren, Zhengyun
    Tong, Dongbing
    Fan, Zhiping
    Feng, Xue
    NEURAL PROCESSING LETTERS, 2023, 55 (06) : 7907 - 7931
  • [3] H∞ Control of High-Speed Train Stochastic Systems with Uncertainties, Disturbances, and Time-Varying Delays
    Shi, Rui
    Shi, Guangtian
    Zhang, Xiaoan
    Zhang, Xiaoyun
    ICRT 2021: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAIL TRANSPORTATION, 2022, : 482 - 494
  • [4] Robust Finite-Time Output Feedback Control for Systems With Unpredictable Time-Varying Disturbances
    Wang, Huiming
    Zhang, Qiyao
    Xian, Juan
    Chen, I-Ming
    IEEE ACCESS, 2020, 8 (08): : 52268 - 52277
  • [5] Reliable dissipative control of high-speed train with probabilistic time-varying delays
    Kaviarasan, B.
    Sakthivel, R.
    Shi, Y.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (16) : 3940 - 3951
  • [6] Finite-time stabilization by state feedback control for a class of time-varying nonlinear systems
    Zhang, Xianfu
    Feng, Gang
    Sun, Yonghui
    AUTOMATICA, 2012, 48 (03) : 499 - 504
  • [7] Finite-time control of linear systems subject to time-varying disturbances
    Zhou, Linna
    Han, Yuchen
    Yang, Chunyu
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2017, 34 (03) : 765 - 777
  • [8] Finite-Time Boundedness of QVMNNs with Time-Varying Delays
    Wei, Ruoyu
    Cao, Jinde
    Li, Cliengsheng
    2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2020, : 470 - 477
  • [9] Finite-Time Output Feedback Control for Flexible-Joint Systems Under Time-Varying Disturbances
    Wang, Huiming
    Lu, Qinggao
    Zhang, Qiyao
    Zhong, Jiaqi
    Wang, Baolei
    Li, Qingdu
    2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 970 - 975
  • [10] Finite-time boundedness of state estimation for neural networks with time-varying delays
    Cheng, Jun
    Zhong, Shouming
    Zhong, Qishui
    Zhu, Hong
    Du, Yuanhua
    NEUROCOMPUTING, 2014, 129 : 257 - 264
12345