Fixed-Time Leader-Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control

This brief addresses the fixed-Time event/self-Triggered leader-follower consensus problems for networked multi-Agent systems subject to nonlinear dynamics. First, we present an event-Triggered control strategy to achieve the fixed-Time consensus, and a new measurement error is designed to avoid Zeno behavior. Then, two new self-Triggered control strategies are presented to avoid continuous triggering condition monitoring. Moreover, under the proposed self-Triggered control strategies, a strictly positive minimal triggering interval of each follower is given to exclude Zeno behavior. Compared with the existing fixed-Time event-Triggered results, we propose two new self-Triggered control strategies, and the nonlinear term is more general. Finally, the performances of the consensus tracking algorithms are illustrated by a simulation example.