Input-to-state stability of discrete-time switched delayed systems with delay-dependent impulses: Admissible edge-dependent average impulsive interval

This article addresses the input-to-state stability (ISS) problem for general discrete-time impulsive and switched delayed systems coupled by delay-dependent impulses. In our studied systems, the impulsive signal has a large degree of freedom, that is, the impulse effect can occur simultaneously with or different from the switching effect. A new Lyapunov-Krasovskii functional is proposed to deal with the delay effect of switching signal and impulsive jump, which is divided into the delay-independent part and delay-dependent part. A new concept named admissible edge-dependent average impulsive interval (AED-AII) is set up to characterize the impulse sequence relative to the admissible edge-dependent average dwell time (AED-ADT) concept of the switching signal. Based on AED-ADT approach and AED-AII technique, some improved sufficient outcomes guaranteeing ISS of discrete-time impulsive and switched delayed systems are presented, respectively, for stabilizing and destabilizing delay-dependent impulses. Meanwhile, the relationship among AED-AII, AED-ADT, the jump amplitude of switching signal and impulse signal at their respective discrete points, the decay rate of Lyapunov functional for system dynamics is connected to pursue ISS of the whole system. Compared with previous works, our setups enjoy the following characteristics: it thoroughly digs the influence of time delay existing in impulses and system dynamics on the function part of L-K functional, which are less conservative relative to other works; the proposed AED-ADT switching signals and AED-AII jump signals cover a large set of hybrid systems. Two numerical examples are given to illustrate the effectiveness and less conservativeness of the obtained results.

Automated summary

This article investigates the input-to-state stability problem for general discrete-time impulsive and switched delayed systems. It proposes a new concept and method to improve existing results and provides numerical examples for validation.