Adaptive-triggered asynchronous control for stochastic jumping systems under sliding mode

Abstract

This paper investigates the problem of event-triggered asynchronous control for discrete-time stochastic jumping systems. A novel adaptive event-triggered (AET) strategy is proposed to save network resources, and two asynchronous control approaches are presented. First, an asynchronous feedback control method on adaptive triggered mechanism is proposed, and the mean-square exponentially stable of the closed-loop system is analysed. Second, the reduced-order model for discrete-time stochastic system is established to deal with the actuator faults. Furthermore, combining with the AET scheme, an asynchronous sliding-mode surface is designed such that the discrete-time reduced-order sliding-mode dynamics is yielded. Third, the stability analysis for the sliding-mode dynamics is discussed and the sliding-mode parameters are solved. Moreover, in order to compensate the actuator faults, an asynchronous sliding-mode controller is synthesised, and the reachability of the sliding-mode surface is analysed. Finally, two examples are given to demonstrate the potential of the developed scheme.