Fuzzy distributed adaptive consensus of multi-agent systems with imprecise communication topology structure
Jiaxi Chen, Junmin Li, Jinsha Li · 2017
This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems with imprecise communication topology structure. T-S fuzzy models are presented to describe leader-followers multi-agent systems(MASs) with imprecise communication topology structure, and a fuzzy distributed adaptive control protocol is proposed. With the dynamic of leader unknown to any of the agent, the proposed protocol guarantees that the follower agents can track the leader. A sufficient condition of the consensus for the closed-loop multi-agent system(MAS) is given based on Lypapunov stability theory. Finally, simulation example is given to illustrate the effectiveness of the proposed method in this sudy.