The Study Of Consensus Control For Multi-agent Systems With Sampled-data

With the growing maturity of the Internet of Things and the rapid development of modern artificial intelligence technology,many scholars not only home but abroad pay their close attention to the problem of distributed coordination and control of multi-agent systems.The research on the consensus of multi-agent systems has become a up-to-the-moment topic.The Lyapunov stability theory is used to study the consensus problem of multi-agent systems based on sampling control protocol.The main work is as follows:1.The sampled-data consensus of linear multi-agent systems with impulsive control is investigated.The sampling impulsive control in this model refers to periodic sampling.The impulsive control is performed at sampling time.By introducing virtual leader,the impulsive consensus problem of multi-agent is transformed into the stability problem of error system.By means of Lyapunov function method and impulsive system theory,a sufficient condition for impulsive consensus problem is given.2.The sampling consensus of second-order multi-agent systems with time-varying topology is investigated based on the constant position difference and consistent speed.Firstly,the virtual leader is introduced and the sampling consensus problem of multi-agent systems is transformed into the stability problem of the corresponding error system.Secondly,by estimating the sampling error,the influence of sampling error on system consistency is studied.Finally,by means of Lyapunov function method,the stability of the constructed error system is analyzed,and a sufficient condition for the stability of the error system is given.