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Adaptive neural control of non-strict feedback system with actuator failures and time-varying delays

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  • Zhang, Yan
  • Wang, Fang

Abstract

This paper focuses on an adaptive neural control for a category of nonlinear uncertain time-delay systems with actuator failures. By employing the structural characteristics of radial basis function (RBF) neural networks (NNs), a backstepping design method is extended from strict-feedback systems to a category of more general nonlinear systems. By applying the approximation ability of neural network systems, an integrated adaptive controller is constructed, which can adapt to both system uncertainties and unknown actuator failures. The proposed adaptive neural controller guarantees that the system output converges into a small neighborhood of the reference signal, and all the signals of the closed-loop system remain bounded. A numerical example is given to verify the validity of the proposed approach.

Suggested Citation

  • Zhang, Yan & Wang, Fang, 2019. "Adaptive neural control of non-strict feedback system with actuator failures and time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    • Handle: RePEc:eee:apmaco:v:362:y:2019:i:c:48
    DOI: 10.1016/j.amc.2019.06.026
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    References listed on IDEAS

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    1. Ji-Shi Zhang & Yan-Wu Wang & Jiang-Wen Xiao & Yang Chen, 2016. "Robust reliable guaranteed cost control of positive interval systems with multiple time delays and actuator failure," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(4), pages 946-955, March.
    2. Wang, Zhen & Xie, Yingkang & Lu, Junwei & Li, Yuxia, 2019. "Stability and bifurcation of a delayed generalized fractional-order prey–predator model with interspecific competition," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 360-369.
    3. Zhina Zhang & Yugang Niu, 2018. "Adaptive sliding mode control for interval type-2 stochastic fuzzy systems subject to actuator failures," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(15), pages 3169-3181, November.
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    Cited by:

    1. Ma, Jiali & Park, Ju H. & Xu, Shengyuan & Cui, Guozeng & Yang, Zhichun, 2020. "Command-filter-based adaptive tracking control for nonlinear systems with unknown input quantization and mismatching disturbances," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    2. Shi, Tianyu & Xiang, Zhengrong, 2024. "Asymptotic tracking control for a class of uncertain nonlinear systems with output constraint," Applied Mathematics and Computation, Elsevier, vol. 478(C).
    3. Zhao, Shiyi & Pan, Yingnan & Du, Peihao & Liang, Hongjing, 2020. "Adaptive control for non-affine nonlinear systems with input saturation and output dead zone," Applied Mathematics and Computation, Elsevier, vol. 386(C).

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