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Dynamic event-triggered tracking control for model-free networked control systems

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  • Zhu, Lin
  • Che, Wei-Wei
  • Jin, Xiao-Zheng

Abstract

This study investigates the dynamic event-triggered (DET) model-free adaptive tracking control (DET-MFATC) problem for nonlinear systems with consideration of denial-of-service (DoS) attacks and round-trip time (RTT) delays. Firstly, we introduce an attack compensation mechanism for the sake of reducing the effects of DoS attacks. At the same time, a network predictive delay compensation mechanism is proposed for compensating the effects of RTT delays caused by packet dropouts, network time-delay and packet disorders. What’s more, the DET method is developed to save communication resources. The nonlinear system is represented by an equivalent data model where the nonlinear characteristics are expressed as pseudo-partial derivative (PPD) parameters. The designed DET-MFATC algorithm can guarantee the security tracking control problem only using input and output (I/O) data. In the end, simulation results clearly certify the effectiveness of the presented algorithm.

Suggested Citation

  • Zhu, Lin & Che, Wei-Wei & Jin, Xiao-Zheng, 2022. "Dynamic event-triggered tracking control for model-free networked control systems," Applied Mathematics and Computation, Elsevier, vol. 431(C).
    • Handle: RePEc:eee:apmaco:v:431:y:2022:i:c:s0096300322004234
    DOI: 10.1016/j.amc.2022.127349
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    References listed on IDEAS

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    1. Wang, Yingchun & Li, Haifeng & Qiu, Xiaojie & Xie, Xiangpeng, 2020. "Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control," Applied Mathematics and Computation, Elsevier, vol. 365(C).
    2. Zhou, Zepeng & Zhu, Fanglai & Xu, Dezhi & Guo, Shenghui & Zhao, Younan, 2022. "Attack resilient control for vehicle platoon system with full states constraint under actuator faulty scenario," Applied Mathematics and Computation, Elsevier, vol. 419(C).
    3. Song, Yunbo & Ye, Dan, 2021. "Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    4. Chang, Xiao-Heng & Jin, Xue, 2022. "Observer-based fuzzy feedback control for nonlinear systems subject to transmission signal quantization," Applied Mathematics and Computation, Elsevier, vol. 414(C).
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    Cited by:

    1. Zhai, Ganghui & Tian, Engang & Luo, Yuqiang & Liang, Dong, 2024. "Data-driven optimal output regulation for unknown linear discrete-time systems based on parameterization approach," Applied Mathematics and Computation, Elsevier, vol. 461(C).

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