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Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults

Author

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  • Baoyu Huo
  • Shaocheng Tong
  • Yongming Li

Abstract

This article develops an adaptive fuzzy control method for accommodating actuator faults in a class of unknown nonlinear systems with unmeasured states. The considered faults are modelled as both loss of effectiveness and lock-in-place (stuck at unknown place). With the help of fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is developed for estimating the unmeasured states. Combining the backstepping technique with the nonlinear tolerant-fault control theory, a novel adaptive fuzzy faults-tolerant control approach is constructed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded and the tracking error between the system output and the reference signal converges to a small neighbourhood of zero by appropriate choice of the design parameters. Simulation results are provided to show the effectiveness of the control approach.

Suggested Citation

  • Baoyu Huo & Shaocheng Tong & Yongming Li, 2013. "Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(12), pages 2365-2376.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:12:p:2365-2376
    DOI: 10.1080/00207721.2012.704092
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    Cited by:

    1. Zhang, Zhiming & Zheng, Wei & Lam, H.K. & Wen, Shuhuan & Sun, Fuchun & Xie, Ping, 2020. "Stability analysis and output feedback control for stochastic networked systems with multiple communication delays and nonlinearities using fuzzy control technique," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    2. Changhui Wang & Mei Liang & Yongsheng Chai, 2019. "Adaptive Neural Network Control of a Class of Fractional Order Uncertain Nonlinear MIMO Systems with Input Constraints," Complexity, Hindawi, vol. 2019, pages 1-15, November.
    3. Zheng, Wei & Zhang, Zhiming & Lam, Hak-Keung & Sun, Fuchun & Wen, Shuhuan, 2023. "LMIs-based exponential stabilization for interval delay systems via congruence transformation: Application in chaotic Lorenz system," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    4. Honghong Wang & Bing Chen & Chong Lin & Yumei Sun, 2017. "Adaptive fuzzy output-feedback control for a class of nonlinear pure-feedback systems with time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1242-1253, April.
    5. Wang, Sanxia & Xia, Jianwei & Wang, Xueliang & Yang, Wenjing & Wang, Linqi, 2021. "Adaptive neural networks control for MIMO nonlinear systems with unmeasured states and unmodeled dynamics," Applied Mathematics and Computation, Elsevier, vol. 408(C).
    6. Yinyin Xu & Shaocheng Tong & Yongming Li, 2015. "Adaptive fuzzy decentralised fault-tolerant control for nonlinear large-scale systems with actuator failures and unmodelled dynamics," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(12), pages 2195-2209, September.

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