Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints

Abstract

Abstract This paper studies the event-triggered adaptive fuzzy control (AFC) problem for switched nonlinear systems with state constraints. Fuzzy logic systems are explored to handle the lumped unknown dynamics. The barrier Lyapunov function is deployed to solve state constraints. In addition, event-triggered mechanism is incorporated into the backstepping framework to mitigate the communication burden. The constructed event-triggered AFC scheme not only surmounts the effect of state constraints to system performance, but also saves network and data transmission. By resorting to the Lyapunov stability analysis and the average dwell time method, it is shown that all system signals are bounded under switching signals and the predefined constraints are not violated. Finally, simulation analysis on the mass-spring-damper systems are conducted to substantiate the validity of the designed scheme.