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- W3184438917 abstract "In this paper, a fuzzy-based control strategy is devised for switched stochastic nonlinear systems with state constraints. All states are guaranteed to maintain the prescribed regions whereby barrier Lyapunov function. To mitigate the data transmission and save resource, the event-triggered mechanism (ETM) is exploited to update control signal. To further deal with system uncertainties, the fuzzy logic systems are taken as function approximators. By combining the backstepping technique with event-triggered mechanism, the adaptive fuzzy control (AFC) strategy is recursively established. In virtue of Lyapunov theory and average dwell time method (ADT), the devised AFC method can guarantee that the entire closed-loop systems are uniformly bounded and the prescribed state constraints are not violated. Finally, the validity of the developed method is illustrated via a simulation example." @default.
- W3184438917 created "2021-08-02" @default.
- W3184438917 creator A5009074414 @default.
- W3184438917 creator A5041131074 @default.
- W3184438917 date "2021-07-15" @default.
- W3184438917 modified "2023-09-27" @default.
- W3184438917 title "Fuzzy‐based adaptive event‐triggered control for switched stochastic nonlinear systems with state constraints" @default.
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- W3184438917 doi "https://doi.org/10.1002/asjc.2601" @default.
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