Distributed Event-Triggered Fuzzy Control of Heterogeneous Switched Multiagent Systems Under Switching Topologies
Xuejiao Li, Lijun Long
Abstract
This article solves the problem of distributed event-triggered fuzzy control for a class of heterogeneous switched nonlinear multiagent systems (MASs) under switching topologies. A distributed dynamic compensator is designed for addressing the consensus problem of switched MASs with unknown deception attacks. To mitigate the effect of deception attacks, an attack compensator and a new distributed event-triggered fuzzy control method are presented by exploring a common Lyapunov function method and backstepping. Also, if switching occurs between two adjacent triggering instants, then asynchronous switching between candidate controllers of subsystems and subsystems will occur. Furthermore, the asynchronous switching is addressed by constructing a new switching dynamic event-triggered mechanism and distributed event-triggered fuzzy controllers. Also, Zeno phenomenon is excluded by guaranteeing that a lower bound on interevent times is a positive constant. Finally, a practical example is proposed to illustrate the effectiveness of the developed method.