Abstract

A state feedback adaptive fuzzy periodic event-triggered control (PETC) strategy was designed for the investigated systems. Fuzzy logic systems (FLSs) are employed to approximate nonlinear terms. To reduce the communication resources’ usage (CRU), a novel controller is designed by utilizing states at event-triggering instants (ETIs), and an event-triggering mechanism (ETM) which is detected at sampling instants (SIs) derived. By selecting a proper common Lyapunov function (CLF), all states of the closed-loop system (CLS) can be bounded with an allowable sampling period (SP). At last, a simulation example is provided to verify the effectiveness of the proposed method.

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