Adaptive Fuzzy Fault-Tolerant Event-Triggered Consensus for Switched Nonlinear Multi-agent Systems

In this paper, an adaptive fuzzy fault-tolerant event-triggered consensus problem is considered for the switched nonlinear multi-agent systems (SNMASs). In the considered systems, the dynamics of agents are switching and heterogeneous. In the process of protocol design, the unknown functions are approximated by the fuzzy logic systems (FLSs). A distributed controller and an event-triggering mechanism (ETM) are derived to reduce the wastage of communication resources (WCRs). By constructing a common Lyapunov function (CLF), the consensus tracking objective can be achieved and all states of the closed-loop system are bounded. At last, the effectiveness of the scheme developed in this paper is verified by simulation results.