Adaptive Resilient Control of a Class of Nonlinear Systems Based on Event-Triggered Mechanism

Abstract An event-triggered resilient control framework is proposed for a class of uncertain nonlinear systems under DoS attacks. Unknown dynamics are approximated by fuzzy logic systems (FLSs), while a switched adaptive state observer is presented to reconstruct unavailable states in the presence of intermittent attacks. Then, the backstepping method is developed for the control scheme; additionally, a relative threshold triggered scheme is designed. Furthermore, in theory, we prove the proposed control scheme guarantees all closed-loop signals remain bounded, and the error signal converges to a small area of the origin under DoS attacks. Finally, a power networked system and a numerical example are used to verify the effectiveness of the theoretical claims in our proposed scheme.