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Adaptive finite‐time event‐triggered control for uncertain nonlinearly parameterized systems with unknown control direction and actuator failures

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  • Hu, Yifan
  • Liu, Wenhui
  • Liu, Guobao

Abstract

In this article, the issue of adaptive finite-time event-triggered tracking control is investigated for nonlinearly parameterized systems with unknown faults and unknown control gain. By establishing the proper parameter adaptive laws with the intermediate variable, the problem of system instability caused by the uncertainty of the parametric system and the unknown faults of the actuator can be effectively handled. Simultaneously, the unknown nonlinear term denotes the bias fault is approximated by the fuzzy logic systems (FLSs). Accordingly, an improved event-triggered controller with a varying threshold strategy is developed to rule out the Zeno phenomenon and demonstrate that all the signals in the closed-loop system are semi-globally practically finite-time stable (SGPFS). Finally, a simulation result of the manipulator system is carried out to validate the proposed control scheme.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:apmaco:v:435:y:2022:i:c:s0096300322005252
    DOI: 10.1016/j.amc.2022.127451
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    References listed on IDEAS

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    1. Huo, Xin & Ma, Li & Zhao, Xudong & Zong, Guangdeng, 2020. "Event-triggered adaptive fuzzy output feedback control of MIMO switched nonlinear systems with average dwell time," Applied Mathematics and Computation, Elsevier, vol. 365(C).
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    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).
    5. Ma, Yong-Sheng & Che, Wei-Wei & Deng, Chao, 2022. "Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks," Applied Mathematics and Computation, Elsevier, vol. 421(C).
    6. Wu, Li-Bing & Park, Ju H. & Xie, Xiang-Peng & Liu, Ya-Juan & Yang, Zhi-Chun, 2020. "Event-triggered adaptive asymptotic tracking control of uncertain nonlinear systems with unknown dead-zone constraints," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    7. 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).
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    Cited by:

    1. Qi, Xiaojing & Xu, Shengyuan, 2025. "Event-triggered sampling-based singularity-free fixed-time control for nonlinear systems subject to input saturation and unknown control directions," Applied Mathematics and Computation, Elsevier, vol. 486(C).
    2. Yi, Jiale, 2023. "Adaptive fuzzy connectivity-preserving consensus protocols for stochastic strict-feedback nonlinear MASs subject to unmeasured periodic disturbances," Applied Mathematics and Computation, Elsevier, vol. 444(C).

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