Finite-time stability and asynchronous H8 control for highly nonlinear hybrid stochastic systems

被引:5
|
作者
Zhong, Shiyu [1 ]
Zhang, Weihai [1 ]
Jiang, Xiushan [2 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266580, Shandong, Peoples R China
[2] China Univ Petr East China, Coll New Energy, Qingdao 266580, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Highly nonlinear stochastic systems; pth moment finite-time stability; Asynchronous H-8 control; Markov process; Deterministic switching; SWITCHED LINEAR-SYSTEMS; H-INFINITY CONTROL; STABILIZATION; BOUNDEDNESS;
D O I
10.1016/j.ins.2023.118985
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, the pth moment finite-time stochastic stability (p-MFTS stability) and asynchronous H-8 control for highly nonlinear hybrid stochastic systems (HNHSSs) are investigated. Firstly, the definition of p-MSFT stability for HNHSSs is proposed, and the stability criteria are given by the mode-dependent average dwell time (MDADT) method. Secondly, the asynchronous H-8 controller is designed to ensure that HNHSSs are pth moment finite-time stochastically stabilizable (p-MFTS stabilizable) and satisfy H-8 performance. When designing the asynchronous H-8 controller, deterministic asynchrony and stochastic asynchrony are considered simultaneously. Moreover, since the coefficients of HNHSSs have highly nonlinear structures without satisfying the linear growth condition (LGC), the Lyapunov function u and the operator Lu are bounded by polynomials of degree higher than p, which means that weaker conditions of p-MFTS stability are proposed. Finally, examples are presented to illustrate the availability of the results.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] A Fast Finite-Time Neural Network Control of Stochastic Nonlinear Systems
    Wang, Fang
    You, Zhaoyang
    Liu, Zhi
    Chen, C. L. Philip
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) : 7443 - 7452
  • [42] Adaptive finite-time control of stochastic nonlinear systems with actuator failures
    Wang, Fang
    Liu, Zhi
    Zhang, Yun
    Chen, C. L. Philip
    FUZZY SETS AND SYSTEMS, 2019, 374 : 170 - 183
  • [43] Adaptive finite-time control of stochastic nonlinear systems with actuator failures
    Wang F.
    Liu Z.
    Zhang Y.
    Chen C.L.P.
    Fuzzy Sets and Systems, 2019, 374 : 170 - 183
  • [44] Adaptive Fast Finite-Time Fuzzy Control of Stochastic Nonlinear Systems
    You, Zhaoyang
    Wang, Fang
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (07) : 2279 - 2288
  • [45] Prescribed Finite-Time H∞ Control for Nonlinear Descriptor Systems
    Lu, Xiaodong
    Li, Haitao
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (08) : 2917 - 2921
  • [46] L∞ Control with Finite-Time Stability for Switched Systems under Asynchronous Switching
    Wang, Ronghao
    Xing, Jianchun
    Wang, Ping
    Yang, Qiliang
    Xiang, Zhengrong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2012, 2012
  • [47] Finite-time stabilisation issue for a class of highly nonlinear stochastic coupled systems
    He, Qian
    Ren, Yong
    INTERNATIONAL JOURNAL OF CONTROL, 2024, 97 (10) : 2264 - 2271
  • [48] Finite-time L 2-L∞ filtering for nonlinear stochastic systems based on a novel stochastic finite-time stability theorem
    Hou, Mingzhe
    Wu, Aiguo
    Duan, Gunagren
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (02) : 489 - 497
  • [49] Finite-time L2−L∞ filtering for nonlinear stochastic systems based on a novel stochastic finite-time stability theorem
    Mingzhe Hou
    Aiguo Wu
    Gunagren Duan
    International Journal of Control, Automation and Systems, 2017, 15 : 489 - 497
  • [50] Finite-time stability analysis and H∞ control for a class of nonlinear time-delay Hamiltonian systems
    Yang, Renming
    Wang, Yuzhen
    AUTOMATICA, 2013, 49 (02) : 390 - 401