Event-Triggered Multi-intelligence Based Coherent Control

The article investigates the leader-following consensus control problem of multi-agent system in a fixed directed topology network structure, with a third-order multi-agent control system as the research object. To address the issue of excessive individual network and computational resource consumption in the control system, an event-triggered consensus control protocol is designed. Using model transformation, matrix theory, Lyapunov stability theory, and inequality scaling techniques, a triggering function is designed to analyze the consensus of the multi-agent control system. Sampling and information exchange among multi-agent are only conducted when the state error satisfies the threshold of the triggering function, while ensuring that the control system does not experience a Zeno phenomenon. Finally, simulation results are presented to validate the proposed methodology.