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Robust adaptive fault-tolerant control for time delay uncertain nonlinear systems with time-varying performance bounds

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  • Shuyi Xiao
  • Jiuxiang Dong

Abstract

In this paper, a robust adaptive fault tolerant controller guaranteeing with time-varying performance bounds is designed for a class of time delay uncertain nonlinear systems subject to actuator failures and external disturbance. The influence of time delay on the system is mitigated and the system performance can be guaranteed by introducing a positive nonlinear control gain function and the generalised restricted potential function. A new method with more design degrees of freedom is developed to ensure the norm of the system state within a-priori, user-defined time varying performance bounds. Using the online estimation information provided by adaptive mechanism, a robust adaptive fault-tolerant control method guaranteeing time varying performance bounds is proposed. It is shown that all the signals of the resulting closed-loop system are bounded and the system state less than a-priori, user-defined performance bounds. Finally, simulation results are given to demonstrate the efficacy of the proposed fault-tolerant control method.

Suggested Citation

  • Shuyi Xiao & Jiuxiang Dong, 2019. "Robust adaptive fault-tolerant control for time delay uncertain nonlinear systems with time-varying performance bounds," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(11), pages 2168-2188, August.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:11:p:2168-2188
    DOI: 10.1080/00207721.2019.1647307
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    Cited by:

    1. Xuemiao Chen & Qianjin Zhao & Chunsheng Zhang & Jian Wu, 2019. "Adaptive Asymptotic Tracking Control for a Class of Uncertain Switched Systems via Dynamic Surface Technique," Complexity, Hindawi, vol. 2019, pages 1-9, October.
    2. Huang, Jingyang & Jia, Wei & Wan, Tongxin & Xiao, Shuyi & Wang, Liqi & Dong, Jiuxiang, 2023. "Adaptive event-triggered fault-tolerant consensus of linear heterogeneous multiagent systems via hierarchical approach," Applied Mathematics and Computation, Elsevier, vol. 447(C).

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