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Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults

Author

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  • Wang, Jiaqi
  • Fang, Fang
  • Yi, Xiaojian
  • Liu, Yajuan

Abstract

This paper investigates the problem of fault estimation and sliding mode fault-tolerant control(FTC) for networked control systems with sensor faults under dynamic event-triggered scheme. First, the sensor faults are equivalent to virtual internal system faults in system by filtering, and dynamic event-triggered fault/state observer is designed to estimate the system state and fault at the same time. Therefore, a sliding mode surface under event-triggering is constructed considering system faults and network delay. By the Lyapunov-Krasovskii function, a novel design condition in the form of linear matrix inequality is obtained with H∞ performance to gain observer and controller parameters. In addition, a sliding mode FTC law is constructed to guarantee that the trajectories of system states can be arrived to the sliding surface in a finite time. Finally, two examples with simulation are given to verify the effectiveness of the theoretical method.

Suggested Citation

  • Wang, Jiaqi & Fang, Fang & Yi, Xiaojian & Liu, Yajuan, 2021. "Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults," Applied Mathematics and Computation, Elsevier, vol. 389(C).
    • Handle: RePEc:eee:apmaco:v:389:y:2021:i:c:s0096300320305142
    DOI: 10.1016/j.amc.2020.125558
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    References listed on IDEAS

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    1. Jianhui Wang & Wenli Chen & Zicong Chen & Yunchang Huang & Xing Huang & Wenqiang Wu & Biaotao He & Chunliang Zhang, 2019. "Neural Terminal Sliding-Mode Control for Uncertain Systems with Building Structure Vibration," Complexity, Hindawi, vol. 2019, pages 1-9, April.
    2. Meng, Xin & Zhai, Ding & Fu, Zhumu & Xie, Xiangpeng, 2020. "Adaptive fault tolerant control for a class of switched nonlinear systems with unknown control directions," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    3. Jian, Long & Hu, Jiangping & Wang, Jun & Shi, Kaibo, 2019. "Observer-based output feedback distributed event-triggered control for linear multi-agent systems under general directed graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
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    Citations

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    Cited by:

    1. Lü, Shao-Yu & Jin, Xiao-Zheng & Wu, Xiao-Ming & Ding, Li-Jian & Chi, Jing, 2022. "Robust adaptive event-triggered fault-tolerant control for time-varying systems against perturbations and faulty actuators," Applied Mathematics and Computation, Elsevier, vol. 426(C).
    2. Ma, Zheng & Song, Jiasheng & Zhou, Jianping, 2022. "Reliable event-based dissipative filter design for discrete-time system with dynamic quantization and sensor fault," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    3. Li, Jiahao & Liu, Yu & Yu, Jinyong & Sun, Yiming & Liu, Mengmeng, 2021. "A new result of terminal sliding mode finite-time state and fault estimation for a class of descriptor switched systems," Applied Mathematics and Computation, Elsevier, vol. 402(C).
    4. Wang, Jinling & Liang, Jinling & Zhang, Cheng-Tang & Fan, Dongmei, 2021. "Event-triggered non-fragile control for uncertain positive Roesser model with PDT switching mechanism," Applied Mathematics and Computation, Elsevier, vol. 406(C).
    5. Sader, Malika & Chen, Zengqiang & Liu, Zhongxin & Deng, Chao, 2021. "Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    6. Hu, Yifan & Liu, Wenhui & Liu, Guobao, 2022. "Adaptive finite‐time event‐triggered control for uncertain nonlinearly parameterized systems with unknown control direction and actuator failures," Applied Mathematics and Computation, Elsevier, vol. 435(C).

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