Feedback Stabilization of Switched Systems with Actuator Attacks: A Model Reference Adaptive Control Method

This paper addresses the feedback stabilization issue of networked switched systems (SSs). We propose a novel model reference adaptive control (MRAC) framework designed to bolster the security of SSs against actuator attacks. A key contribution is the development of a dwell-time-dependent adaptive update law. By using the time-varying multiple Lyapunov function approach combined with a hybrid switching strategy, we establish solvability conditions for MRAC within the switched system context. Notably, these conditions ensure a solution even when stabilization may be unattainable for individual subsystems. Furthermore, a co-design scheme for the hybrid switching rule and the switched adaptive controllers is presented.