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Decentralized Fuzzy Fixed-Time Fault-Tolerant Tracking Control of Nonlinear Interconnected Systems with Dual Performance

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Abstract

This paper considers the event-based adaptive fuzzy fixed-time tracking control problem for nonstrict feedback nonlinear interconnected systems with actuator faults and funnel constraints. A fixed-time control framework with funnel error variables is constructed, which guarantees the fast convergence performance and the static performance of tracking errors. Meanwhile, an adaptive decoupling control strategy is designed to conquer the design difficulties caused by the full-state coupling of subsystems and the output variables coupling among subsystems. By combining the boundary estimation method and the event-triggered mechanism, the control laws are designed in the backstepping procedure, which can eliminate the effect of actuator faults and save communication costs for control signals. It is shown that all signals of the closed-loop systems are bounded and the tracking errors converge to the small neighborhoods of origin in a fixed time. Finally, the effectiveness of the proposed control scheme is verified by some simulation results.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (62003052, 62003290)

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Authors and Affiliations

  1. College of Control Science and Engineering, Bohai University, Liaoning, 121013, Jinzhou, China

    Quan Wan & Yingnan Pan

  2. School of Mathematics and Statistics, Xinyang Normal University, Henan, 464000, Xinyang, China

    Yanhui Jing

  3. East China University of Science and Technology, Shanghai, 200237, China

    Meng Zhao

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  1. Quan Wan
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  4. Meng Zhao
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Correspondence to Yingnan Pan.

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Wan, Q., Pan, Y., Jing, Y. et al. Decentralized Fuzzy Fixed-Time Fault-Tolerant Tracking Control of Nonlinear Interconnected Systems with Dual Performance. Int. J. Fuzzy Syst. 24, 2873–2888 (2022). https://doi.org/10.1007/s40815-022-01301-3

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  • DOI: https://doi.org/10.1007/s40815-022-01301-3

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