Decentralized Fuzzy Adaptive Output Feedback Periodic Event-Triggered Control of Switched Large-Scale Nonlinear Systems
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    Abstract:

    This paper investigates the problem of adaptive fuzzy periodic event-triggered control for output-feedback interconnected switched nonlinear systems under arbitrary switching. Fuzzy logic systems are employed to approximate the unknown nonlinear terms. A state observer and fuzzy adaptive laws are constructed by using only the sampled output information. To reduce the waste of communication results, a novel controller is developed that only uses the information at the event-triggered instants. Furthermore, the proposed discrete-time event-triggering mechanism performs intermittent monitoring at the sampling instants. It is finally proven that all states of the closed-loop system remain bounded under arbitrary switching, and the effectiveness of the proposed scheme is verified through simulation results.

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History
  • Received:April 22,2025
  • Revised:May 08,2025
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  • Online: December 23,2025
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