Dynamic Event-Triggered-Based Fuzzy Adaptive Pinning Control for Multiagent Systems With Output Saturation

Abstract

This article addresses the problem of distributed fuzzy adaptive pinning control for multiagent systems with output saturation via adopting the dynamic event-triggered mechanism. With the framework of the backstepping technique, a new adaptive pinning control protocol is developed, where an effective fuzzy strategy and a class of tuning functions are integrated into the control protocol to reduce the required design adaptive parameters. Then, the output saturation of nonlinear multiagent systems is first addressed via the signal compensation method. Moreover, a dynamic event-triggered mechanism about control information is proposed, where two dynamic laws are designed to further increase the adjustment margin of the controller. Finally, simulation results are utilized to demonstrate the suitability and feasibility of theoretical algorithm.