Predefined-Time Fuzzy Formation Control for High-Order Multiagent Systems via Event-Triggered Schemes

This research considers the predefined-time adaptive fuzzy formation control issue for high-order nonlinear multiagent systems. By applying fuzzy logic systems, the systems unknown nonlinear functions can be approximated. To refrain from “explosion of complexity problem”, a novel dynamics surface for high-order nonlinear multiagent systems is presented. Further, to minimize the communication burden, an event-triggered mechanism suitable for high-order nonlinear multiagent systems is applied in the control methods. With the help of the backstepping design scheme and the adding power integral method, an adaptive fuzzy predefined-time formation control approach is proposed so that all signals in the considered systems are bounded and realize the desired formation control within predefined time. The illustrative examples are presented to verify the validity of the suggested method.