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Fuzzy adaptive control for switched interconnected nonlinear systems with binary-dependent average dwell time under sensor faults

Author

Listed:
  • Duan, Qi
  • Liu, Zhi
  • Lai, Guanyu
  • Chen, C. L. Philip

Abstract

This work develops a fuzzy adaptive decentralized control strategy for switched interconnected nonlinear systems subject to sensor faults and unmeasurable states, while ensuring predefined performance and state constraints. A binary-dependent average dwell time mechanism is newly incorporated into the fuzzy adaptive framework to relax switching restrictions. Initially, a fuzzy logic systems–based switching state observer is developed to estimate the unmeasurable states. Then, based on the backstepping technique, sensor faults are addressed through adaptive coordinate transformation, and both virtual and actual decentralized controllers are designed by combining barrier Lyapunov functions with error scalar transformation functions. This approach achieved predefined performance while simultaneously ensuring state constraints. Subsequently, the binary-dependent average dwell time switching strategy is shown to ensure system stability under the proposed control framework. Finally, comparative simulation results are provided to demonstrate the effectiveness and advantages of the proposed method.

Suggested Citation

  • Duan, Qi & Liu, Zhi & Lai, Guanyu & Chen, C. L. Philip, 2026. "Fuzzy adaptive control for switched interconnected nonlinear systems with binary-dependent average dwell time under sensor faults," Applied Mathematics and Computation, Elsevier, vol. 527(C).
    • Handle: RePEc:eee:apmaco:v:527:y:2026:i:c:s009630032600144x
    DOI: 10.1016/j.amc.2026.130092
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