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Composite adaptive exponential tracking control for large-scale nonlinear systems with sensor faults

Author

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  • Khebbache, Hicham
  • Benmicia, Abderrahim
  • Labiod, Salim
  • Bounar, Naamane
  • Boulkroune, Abdesselem

Abstract

The issue of composite adaptive exponential tracking control for a class of large-scale nonlinear systems under model uncertainties, external disturbances, along with multiplicative and additive time-varying sensor faults is considered in this paper. The command filtered backstepping approach is employed to address the “explosion of terms” issue inherent in standard backstepping method. A novel compensating system is incorporated to mitigate the effects of filtering errors and enhance the convergence of tracking errors. The composite estimation laws are designed by integrating the compensated tracking errors, prediction errors stemming from output estimators, along with the proportional and integral estimation errors of faulty terms. This on-line estimation framework enables achieving fast, robust and accurate estimation, even when employing low learning and modification gains. By incorporating modification terms with appropriate time-varying gains, it is demonstrated that the resulting system is globally exponentially stable. Finally, the effectiveness of the presented FTC approach is illustrated through two simulation examples.

Suggested Citation

  • Khebbache, Hicham & Benmicia, Abderrahim & Labiod, Salim & Bounar, Naamane & Boulkroune, Abdesselem, 2024. "Composite adaptive exponential tracking control for large-scale nonlinear systems with sensor faults," Applied Mathematics and Computation, Elsevier, vol. 475(C).
  • Handle: RePEc:eee:apmaco:v:475:y:2024:i:c:s0096300324002157
    DOI: 10.1016/j.amc.2024.128743
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    References listed on IDEAS

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    1. Xin-Nan Zhang & Xiao-Jian Li, 2020. "Adaptive fault-tolerant control for a class of stochastic nonlinear systems with multiple sensor faults," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(12), pages 2217-2237, September.
    2. Xia, Meizhen & Liu, Zhucheng & Zhang, Tianping, 2023. "Distributed adaptive cooperative control via command filters for multi-agent systems including input unmodeled dynamics and sensor faults," Applied Mathematics and Computation, Elsevier, vol. 457(C).
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