SMC for Discrete-Time Nonlinear Semi-Markovian Switching Systems With Partly Unknown Semi-Markov Kernel

被引:84
|
作者
Qi, Wenhai [1 ,2 ]
Zong, Guangdeng [3 ]
Hou, Yakun [1 ]
Chadli, Mohammed [4 ]
机构
[1] Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China
[2] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China
[3] Tiangong Univ, Sch Control Sci & Engn, Tianjin 300387, Peoples R China
[4] Univ Evry, Univ Paris Saclay, Lab IBISC, IBISC, F-91020 Evry, France
基金
中国国家自然科学基金;
关键词
Switches; Switching systems; Density functional theory; Upper bound; Kernel; Uncertainty; Stability criteria; Discrete-time sliding mode control (DSMC); mean square stability; partly unknown semi-Markov kernel (SMK); semi-Markovian switching systems (S-MSSs); SLIDING-MODE CONTROL; JUMP LINEAR-SYSTEMS; VARYING DELAYS; SUBJECT; FAULT;
D O I
10.1109/TAC.2022.3169584
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical applications, it is recognized to be partly unknown as the most common mean. By utilizing the prior information of the sojourn-time upper bound for each switching mode, sufficient conditions under the equivalent DSMC law are proposed for the mean square stability. Moreover, the designed DSMC law realizes the finite-time reachability of the sliding region, and makes the sliding dynamics converge to the predesignated sliding region in a finite time. In the end, a numerical example and an electronic throttle model are given to validate the proposed control strategy.
引用
收藏
页码:1855 / 1861
页数:7
相关论文
共 50 条
  • [1] Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel
    Wang, Bao
    Zhu, Quanxin
    SYSTEMS & CONTROL LETTERS, 2020, 140
  • [2] SMC for Uncertain Discrete-Time Semi-Markov Switching Systems
    Qi, Wenhai
    Hou, Yakun
    Park, Ju H.
    Zong, Guangdeng
    Shi, Yan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (03) : 1452 - 1456
  • [3] SMC for Discrete Fuzzy Semi-Markov Jump Models With Partly Known Semi-Markov Kernel
    Qi, Wenhai
    Zhang, Jichao
    Park, Ju. H. H.
    Wu, Zheng-Guang
    Yan, Huaicheng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (08): : 5260 - 5270
  • [4] SMC for Discrete-Time Networked Semi-Markovian Switching Systems With Random DoS Attacks and Applications
    Qi, Wenhai
    Hou, Yakun
    Park, Ju H.
    Zong, Guangdeng
    Cao, Jinde
    Cheng, Jun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (03): : 1982 - 1993
  • [5] Smc for discrete delayed semi-Markov switching systems
    Shen, Feiyue
    Qi, Wenhai
    Park, Ju H.
    Cheng, Jun
    Shi, Kaibo
    NONLINEAR DYNAMICS, 2024, 112 (23) : 21309 - 21319
  • [6] Stability and Stabilization of Discrete-Time Semi-Markov Jump Linear Systems via Semi-Markov Kernel Approach
    Zhang, Lixian
    Leng, Yusong
    Colaneri, Patrizio
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (02) : 503 - 508
  • [7] H∞ Stabilization of Discrete-Time Nonlinear Semi-Markov Jump Singularly Perturbed Systems With Partially Known Semi-Markov Kernel Information
    Shen, Hao
    Xing, Mengping
    Xu, Shengyuan
    Basin, Michael, V
    Park, Ju H.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 68 (02) : 818 - 828
  • [8] Exponential stability for discrete-time singular stochastic systems with semi-Markovian switching
    Zhang, Mengmeng
    Zhu, Quanxin
    JOURNAL OF THE FRANKLIN INSTITUTE, 2024, 362 (04)
  • [9] Stabilization of Discrete-Time Hidden Semi-Markov Jump Linear Systems With Partly Unknown Emission Probability Matrix
    Wang, Bao
    Zhu, Quanxin
    Li, Subei
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (03) : 1952 - 1959
  • [10] Fuzzy SMC for Discrete Nonlinear Singularly Perturbed Models With Semi-Markovian Switching Parameters
    Qi, Wenhai
    Zhang, Jichao
    Park, Ju H.
    Lam, Hak-Keung
    Cheng, Jun
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (04) : 1810 - 1820