Event-triggered adaptive fuzzy decentralized control for switched nonlinear systems

This paper addresses the event-triggered adaptive fuzzy decentralized control problem for a class of strong interconnected switched nonlinear systems with unstable inverse dynamics. An event-triggered adaptive fuzzy decentralized control approach is set up by exploiting the average dwell time (ADT) method and backstepping. The developed approach constructs event-triggered adaptive controllers, dynamic event-triggering mechanisms (ETMs) and a new switching signal with ADT, which ensure the boundedness of all signals in the switched closed-loop system. Zeno phenomenon is also excluded. Finally, a numerical example is provided to illustrate the effectiveness of the derived result.