In this study,we discuss how multi-agent systems(MASs)with a leader can achieve distributed bipartite tracking consensus using asynchronous impulsive control strategies.The proposed asynchronous impulsive control appr...In this study,we discuss how multi-agent systems(MASs)with a leader can achieve distributed bipartite tracking consensus using asynchronous impulsive control strategies.The proposed asynchronous impulsive control approach does not require the impulse to occur simultaneously for all agents.The communication links between neighboring nodes of MASs are antagonistic.When the leader’s control input is non-zero,sufficient conditions are obtained to achieve bipartite asynchronous impulsive tracking consensus in closed-loop MASs.More extensive ranges of asynchronous impulsive effects are discussed,and the designed controller’s feedback can effectively work against adverse impulsive permutation.Simple algebraic conditions for estimating the impulsive gain boundary and asynchronous impulsive interval are presented.Theoretical results are demonstrated with illustrative examples.展开更多
基金the National Natural Science Foundation of China(No.61973078)the “333 Engineering” Foundation of Jiangsu Province,China(No.BRA2019260)the Zhejiang Provincial Natural Science Foundation of China(No.LR20F020002)。
文摘In this study,we discuss how multi-agent systems(MASs)with a leader can achieve distributed bipartite tracking consensus using asynchronous impulsive control strategies.The proposed asynchronous impulsive control approach does not require the impulse to occur simultaneously for all agents.The communication links between neighboring nodes of MASs are antagonistic.When the leader’s control input is non-zero,sufficient conditions are obtained to achieve bipartite asynchronous impulsive tracking consensus in closed-loop MASs.More extensive ranges of asynchronous impulsive effects are discussed,and the designed controller’s feedback can effectively work against adverse impulsive permutation.Simple algebraic conditions for estimating the impulsive gain boundary and asynchronous impulsive interval are presented.Theoretical results are demonstrated with illustrative examples.
