Abstract
This paper develops an event-triggered adaptive fuzzy control (AFC) scheme for stochastic nonlinear time-delay systems. With the aid of event-triggered mechanism, the salient superiority is to reduce the data transmission and communication burden. By virtue of Lyapunov-Krasovskii function, the time-delay term is effectively addressed. The fuzzy logic systems are exploited to model system uncertainties, meanwhile the norm of fuzzy weight vector is taken as estimation, which simplifies controller complexity. The devised AFC method can not only surmount the adverse influence deriving from time-delay, but also save network and communication resource. Finally, simulation results substantiate the validity of the designed control scheme.
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