4.7 Article

Bipartite consensus tracking control for periodically-varying-delayed multi-agent systems with uncertain switching topologies?

Publisher

ELSEVIER
DOI: 10.1016/j.cnsns.2023.107226

Keywords

Bipartite consensus; Multi-agent systems; Time-varying delay; Switching topology; Lyapunov functional

Ask authors/readers for more resources

This paper studies the bipartite tracking control problem for multi-agent systems, proposing novel consensus criteria and a bipartite tracking controller for uncertain switching topologies and time delays. An improved monotone-delay-interval-based Lyapunov functional is constructed, establishing lower conservatism consensus conditions. A new zero equation is introduced to deal with the double integral term, avoiding the need for the quadratic function negative-determination lemma. Simulation examples based on quadrotors and spacecraft formation flying model are presented to demonstrate the superiority of the proposed method.
This paper studies the bipartite tracking control problem for multi-agent systems (MASs). The purpose of this paper is to propose novel consensus criteria and further design the bipartite tracking controller subject to uncertain switching topologies and time delays. By constructing an improved monotone-delay-interval-based Lyapunov functional (MDIBLF), we establish lower conservatism consensus conditions than those of previous results. Moreover, the periodically-varying delay is considered in consensus tracking protocol for MASs. It is highlighted that a new zero equation is introduced to deal with the double integral term in the Lyapunov functional. And the quadratic function negative-determination lemma is not required in our method. Applying the proposed approach, we obtain a bipartite controller for the followers to track the leader. Finally, to demonstrate the superiority of the presented method, two simulation examples based on quadrotors and spacecraft formation flying model are introduced. & COPY; 2023 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available