Consistency Of General Linear Multi-agent Systems Based On Event Control

In recent years,consensus of multi-agent systems has attracted researchers' widespread concern because of its important applications in artificial intelligence control.This dissertation mainly studies the leaderless consensus problem and the leader-following consensus problem of general linear multi-agent systems.The main contents are as follows:1.The research background of multi-agent systems,the current research situation and the work done in this dissertation are introduced.The basic knowledge about algebraic graph theory,matrix theory and linear system theory,and related lemmas are given.2.The leaderless consensus problem of multi-agent systems is investigated.In order to reduce the unnecessary waste of communication resources,distributed event-triggered control strategy is put forward.Based on agents' state information and output information,respectively,consensus control protocols are designed to make each agent update the control input only at its own and its neighbors' event-triggering time instants.3.For the consensus problems of general linear multi-agent systems in leaderless and leader-following networks,a distributed dynamic event-triggered mechanism is proposed,which introduces an auxiliary parameter for each agent to regulate its threshold dynamically.Distributed consensus protocols are designed,and sufficient conditions which guarantee systems to reach consensus are obtained.4.On the basis of the communication topology being a directed graph,consensus protocol and event-triggering conditions are designed by combining with matrix theory and stability theory.The leaderless consensus problem of multi-agent systems with input delay is investigated.