Component-based dynamic event-triggered control for nonlinear singularly perturbed systems: A gain-scheduling method

Abstract

This study deals with component-based dynamic event-triggered control for nonlinear singularly perturbed systems with actuator faults. To mitigate the burden of data communication and improve the efficiency of information exchange, a component-based dynamic-event-triggered mechanism was established, whose triggering thresholds changed with individual sensor nodes. Under the framework of the component-based dynamic-event-triggered mechanism, the controller received separately triggering instants of each sensor node. A nonhomogeneous actuator fault was applied, whose transition probabilities were time-varying and resided in a polytope set. Based on a gain-scheduling technique and the parameter-dependent Lyapunov functional, sufficient conditions were achieved to guarantee the stochastic stability of a closed-loop system. Finally, the effectiveness and applicability of the derived results were verified using a numerical example and a tunnel diode circuit model.