Event-triggered predefined-time adaptive fuzzy control of switched nonlinear systems

Yu Yang, Shuai Sui and C. L. Philip Chen

International Journal of Systems Science, 2026, vol. 57, issue 1, 46-61

Abstract: In this study, event-triggered predefined time-based output feedback control for tight feedback-structured nonlinear switching systems is investigated. A state observer is built to estimate the unmeasurable states throughout the control design section, and fuzzy logic systems are utilised to approximate the unknown nonlinear dynamics. To enhance communication resource utilisation and reduce the number of times that the receptors and observers run, a two-channel event-triggering mechanism is designed in this paper. A two-channel event-triggered mechanism and a predefined time-stability criterion are combined to propose a predefined time output feedback control scheme in the backstepping control framework. Subsequently, based on the theory of predefined time stability and the average dwell time method, it is proved that all the signals of the controlled system are semi-global uniformly ultimately bounded. Finally, the effectiveness of control method is confirmed through numerical simulations.

Date: 2026
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DOI: 10.1080/00207721.2025.2490607

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