Time-Varying Formation for General Linear Multiagent Systems over Directed Topologies: A Fully Distributed Adaptive Technique

Yu Zhao, Qixiu Duan, Guanghui Wen, Dong Zhang, Bohui Wang

Research output: Contribution to journalArticlepeer-review

66 Scopus citations

Abstract

In this paper, the time-varying formation problem is studied under directed topologies. An adaptive approach is utilized to develop a fully distributed formation controller for general linear multiagent systems. To achieve distributed time-varying formations, a feasible formation set is proposed by proposing some conditions. By using adaptive techniques, the main contribution of this paper is that a fully distributed formation algorithm is designed for achieving time-varying formation under directed graphs, which relies only on the local measurements without requiring any global information. By analyzing the Lyapunov stability, the proposed fully distributed formation algorithm can ensure the multiagent systems achieving the goal of time-varying formations. To verify the theoretical results, some simulation examples are shown finally.

Original languageEnglish
Article number8532129
Pages (from-to)532-541
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume51
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Adaptive control
  • directed topology
  • multiagent system
  • time-varying formation

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