Finite-Time Adaptive Fuzzy Event-Triggered Consensus Control for High-Order MIMO Nonlinear MASs

This article considers the finite-time consensus control issue of high-order multi-input and multi-output nonlinear multiagent systems. In the process of establishment, this article uses fuzzy logic systems to identify unknown nonlinear dynamics. Then, according to the backstepping recursive technique and finite-time stability criterion, a fuzzy adaptive finite-time consensus control scheme is designed. At the same time, a communication-restricted control scheme is established according to the dynamic event-triggered strategy with a relative threshold to reduce the execution time of the controller and save communication resources. In addition, a novel integral Lyapunov function is established by introducing the adding power integrator technology, which proves the stability and convergence of consensus tracking errors of closed-loop systems. Finally, taking a marine surface vehicle as an example, the availability of the established event-triggered consensus control scheme is described.