Event-Triggered-Based Adaptive Fuzzy Finite-Time Resilient Output Feedback Control for MIMO Stochastic Nonlinear System Subject to Deception Attacks

被引:1
|
作者
Zhao, Jipeng [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
event-triggered control; fuzzy state observer; Adaptive resilient control; multiple inputs and multiple outputs (MIMO) nonlinear stochastic systems; unknown deception attacks; ASYMPTOTIC TRACKING CONTROL; MEMS GYROSCOPES; SENSOR;
D O I
10.1109/TFUZZ.2024.3452278
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, the event-triggered-based adaptive finite-time resilient control problem is investigated for the uncertain multiple inputs and multiple outputs (MIMO) nonlinear stochastic system with unknown sensor deception attacks. Firstly, based on the compromised output signals and the FLSs, a new fuzzy state observer is constructed to estimate the unmeasured states. Then, the Nussbaum gain technique is utilized to address the issue of unknown control coefficients that arise due to unknown deception attacks. Furthermore, by combining the event-triggered control and backstepping recursive control principle, a novel event-triggered based finite-time resilient fuzzy adaptive output feedback control scheme is developed involving the attacked and estimated state variables. The results of the developed output feedback control show that all the signals of the overall system are semiglobal finite-time stability in probability. Contrary to the current state feedback resilient control results, the designed resilient control scheme not only handles the output feedback control problem, but also eliminates the assumption that the attack weight sign is positive. In addition, the growing assumptions of coexistence unknown nonlinear uncertainties are removed. Ultimately, a simulation example is used to illustrate the feasibility and the rationality of the designed controller.
引用
收藏
页码:6534 / 6547
页数:14
相关论文
共 50 条
  • [41] Finite-time adaptive neural network event-triggered output feedback control for PMSMs
    Zhou, Sihui
    Li, Yongming
    Tong, Shaocheng
    NEUROCOMPUTING, 2023, 533 : 10 - 21
  • [42] Finite-time output feedback control for nonlinear networked discrete-time systems with an adaptive event-triggered scheme
    Sun, Yiming
    Yu, Jinyong
    Yin, Hanqi
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (12): : 6035 - 6056
  • [43] Finite-Time Adaptive Fuzzy Event-Triggered Consensus Control for High-Order MIMO Nonlinear MASs
    Sui, Shuai
    Bai, Ziqi
    Tong, Shaocheng
    Chen, C. L. Philip
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (02) : 671 - 682
  • [44] Decentralized Adaptive Fuzzy Finite-Time Event-Triggered Control for Interconnected Nonlinear Systems Subject to Input Saturation
    Li, Min
    Ahn, Choon Ki
    Xiang, Zhengrong
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 1648 - 1659
  • [45] Event-Triggered Adaptive Finite-Time Control for MIMO Nonlinear Systems With Actuator Faults
    Wang, Jue
    Pan, Huihui
    Zhang, Dun
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (07) : 7343 - 7352
  • [46] Finite-Time Fuzzy Adaptive Control for MIMO Nonlinear MASs
    Bai, Ziqi
    Bi, Wenshan
    Li, Yuanxin
    Sui, Shuai
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 676 - 681
  • [47] Event-triggered adaptive finite-time secure control for nonlinear cyber-physical systems against unknown deception attacks
    Ma, Jiali
    Wang, Jiaqi
    Xu, Shengyuan
    Fei, Shumin
    Feng, Hongyan
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (03) : 1593 - 1606
  • [48] Neural-network-based output feedback adaptive resilient control for stochastic nonlinear systems subject to sensor and actuator attacks
    Yu, Zhaoxu
    Wu, Tiantian
    Li, Shugang
    INTERNATIONAL JOURNAL OF CONTROL, 2024, 97 (05) : 911 - 926
  • [49] Command Filter-Based Adaptive Fuzzy Finite-Time Output Feedback Control of Nonlinear Electrohydraulic Servo System
    Li, Jiafeng
    Ji, Ruihang
    Liang, Xiaoling
    Ge, Shuzhi Sam
    Yan, Hao
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [50] Finite-Time Adaptive Fuzzy Switching Event-Triggered Control for Nonaffine Stochastic Systems
    Wu, Yang
    Zhang, Guoshan
    Wu, Li-Bing
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (12) : 5261 - 5275