Mean Square Consensus Of Stochastic Multi-Agent Systems With Event-Triggered Control

Multi-agent system usually refers to a system composed of a large number of agents with communication connections.With the help of the information exchan ge system between each other,the behavior that a single agent can't have can b e presented as a whole.Consistency has a wide range of applications in the fiel d of multi-agent system research,so consistency is one of the most important co re issues,and has important theoretical value and practical significance.In practi cal applications,the traditional distributed communication between agents needs t o consume a lot of energy and communication resources.At the same time,it is obvious that the agent will be interfered by noise in the process of receiving in formation.Therefore,it is of great significance to study the consistency of event driven stochastic multi-agent system.This paper investigates the mean square consensus of Leader-following general linear stochastic multi-agent systems using a distributed event-triggered control s trategy.It is proved that under the distributed event-triggered control strategy,th e system can achieve Leader-following mean square consensus and no Zeno beha vior occurs with the help of the stability theory of differential equations and sto chastic analysis method.And the topology among followers is allowed to be disc onnected.Finally,the simulation results show that the strategy can not only achi eve the mean square consistency,but also effectively reduce the number of com munication between multi-agent.