Research On Adaptive Cooperative Control Algorithm For A Class Of Multi-agent Systems With Limited Communicatio

In recent years,with the continuous development of computer networks,communication technologies,and artificial intelligence technologies,multi-agent systems have emerged.The system has attracted more and more scholars’ attention.The consensus problem is the basis of multi-agent system cooperative control,and it is to use the state information of neighboring agents to design corresponding controllers to achieve the cooperative goal of multi-agent system.This paper will study the cooperative control problem of a class of nonlinear multi-agent system under the switching communication networks:(1)The design of adaptive fuzzy cooperative control for non affine nonlinear multi-agent system is studied.(2)The problem of adaptive fuzzy cooperative fault-tolerant control for non-affine nonlinear multi-agent systems with dead-zone is studied,leaderless and leader-following considered.(3)The fuzzy cooperative fault-tolerant control of non-affine nonlinear multi-agent systems under intermittent communication constraints is studied.The corresponding controllers are designed in different cases to eliminate the influence of non-affine nonlinear dynamic interference on the system.The method of topologically dependent multi-segment Lyapunov function is used to prove that the closed-loop error system is uniformly bounded.In the study of non-affine nonlinear systems,the non-affine system is first transformed,and the control input of the non-affine term is separated by appropriate methods,thus achieving this goal.