Dynamic Event-Triggered Consensus Control for Interval Type-2 Fuzzy Multi-Agent Systems

This study investigates a fuzzy consensus problem for nonlinear multi-agent systems (MASs) with parameter uncertainties via dynamic event-triggered mechanism. The interval type-2 (IT2) fuzzy systems are used to model MASs, and a dynamic event-triggered fuzzy controller is presented. A Lyapunov-Krasovskii functional is constructed in which the sampling property is included, based on which the sufficient condition is determined for dynamic event-triggered fuzzy controller, while all agents are guaranteed to be consensus exponentially. Finally, the MASs of tunnel diode circuit and one-link manipulator are used to verify the efficiency of the presented control method, respectively.