Resilient and finite-time H∞ control of semi-Markov jump systems with both upper and lower thresholds of sojourn time

被引:1
|
作者
Pan, Shiyao [1 ]
Xie, Xiangpeng [2 ]
Zhu, Yanzheng [3 ]
Chadli, Mohammed [4 ]
机构
[1] Wenzhou Univ Technol, Sch Data Sci & Artificial Intelligence, Wenzhou, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Sch Internet Things, Nanjing 210003, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Peoples R China
[4] Univ Paris Saclay, Univ Evry, IBISC, Evry, France
基金
中国国家自然科学基金;
关键词
finite-time H-infinity control synthesis; incomplete semi-Markov kernel (SMK); resilient; semi-Markov jump systems (SM[!text type='JS']JS[!/text]s); upper and lower thresholds of sojourn time; LINEAR-SYSTEMS; STOCHASTIC STABILITY; SWITCHING SYSTEMS; ROBUST-CONTROL; STABILIZATION;
D O I
10.1002/rnc.7284
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 discusses the finite-time H-infinity control problem for a type of discrete-time semi-Markov jump systems (SMJSs) with partial unavailable information. A mode-dependent resilient state feedback control strategy and the incomplete semi-Markov kernel (SMK) method are applied to stabilize the obtained closed-loop systems to protect against additive disturbances that can easily occur in the controller. By considering the upper and lower thresholds of sojourn time for each mode, the number of jumps of SMJSs is effectively estimated and new finite-time bounded related criteria are established, which cover the general case of some previous studies and are more practical in depicting systems. Besides, the H-infinity performance is further discussed and optimization problems are presented to achieve better closed-loop performance. At last, a simulation example and a practical example are exhibited to reveal the validity of our raised control strategies and theoretical results.
引用
收藏
页码:5605 / 5623
页数:19
相关论文
共 50 条
  • [41] Design of fault-tolerant non-fragile control for parabolic PDE systems with semi-Markov jump: the finite-time case
    Sozhaeswari, P.
    Sakthivel, R.
    Chadli, M.
    Abinandhitha, R.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2025,
  • [42] Finite-time stochastic dissipative output tracking control of semi-Markov jump systems via an adaptive event-triggered mechanism
    Shi, Ting
    Shi, Peng
    Wu, Zheng-Guang
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 7774 - 7792
  • [43] Asynchronous H∞ control of semi-Markov jump linear systems
    Xu, Zhaowen
    Su, Hongye
    Shi, Peng
    Wu, Zheng-Guang
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 349 : 270 - 280
  • [44] Finite-time synchronization control for semi-Markov jump neural networks with mode-dependent stochastic parametric uncertainties
    Zhang, Dian
    Cheng, Jun
    Cao, Jinde
    Zhang, Dan
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 344 : 230 - 242
  • [45] Robust H∞ Control of Uncertain Nonlinear Continuous-Time Singular Semi-Markov Jump Systems
    Wang, Jimin
    Ma, Shuping
    Kulan, Zhumahan
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 2479 - 2484
  • [46] H∞ Control of Continuous-Time Descriptor Semi-Markov Jump Systems Subject to Actuator Saturation
    Zhou, Yi
    Ma, Shuping
    Kulan, Zhumahan
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 1793 - 1798
  • [47] Robust finite-time H∞ control of stochastic jump systems
    Shu-Ping He
    Fei Liu
    International Journal of Control, Automation and Systems, 2010, 8 : 1336 - 1341
  • [48] Robust Finite-Time H∞ Control of Stochastic Jump Systems
    He, Shu-Ping
    Liu, Fei
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2010, 8 (06) : 1336 - 1341
  • [49] Stabilization of non-homogeneous hidden semi-Markov Jump systems with limited sojourn-time information
    Zhang, Lixian
    Cai, Bo
    Tan, Tianyu
    Shi, Yang
    AUTOMATICA, 2020, 117
  • [50] Adaptive practical finite-time H∞ tracking control for nonlinear stochastic Markov jump systems
    Zhang, Qingkang
    Zhang, Tianliang
    Zhang, Weihai
    NONLINEAR DYNAMICS, 2023, 111 (23) : 21765 - 21778