Fuzzy adaptive iterative learning control for consensus of multi-agent systems with imprecise communication topology structure

Abstract

This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems (MASs) with imprecise communication topology structure. T-S fuzzy models are presented to describe leader-followers MASs with imprecise communication topology structure, and a fuzzy distributed adaptive iterative learning 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 uniformly on [0, T] for consensus problem. A numerical example is provided to show the effectiveness of the theoretical results.