Multi-agent system consensus under input and state constraints

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a unified approach to analyze and synthesize consensus control laws for general linear leaderless multi-agent systems (MASs) subjected to input or state constraints. First, the problem of consensus under input constraint is investigated where the MAS is reformulated as a network of Lur'e systems. As a result, a sufficient condition for consensus and the design of consensus controller gain are derived from solutions of a distributed LMI convex problem. Next, the problem of consensus with state constraint is transformed into an equivalent problem of consensus under input constraint. Therefore, a similar method to the previous problem can be employed for this scenario, however an additional LMI constraint should be satisfied. Finally, a numerical example is introduced to illustrate the proposed theoretical approach.

Original languageEnglish
Title of host publication2016 European Control Conference, ECC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-542
Number of pages6
ISBN (Electronic)9781509025916
DOIs
Publication statusPublished - Jan 6 2017
Externally publishedYes
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: Jun 29 2016Jul 1 2016

Publication series

Name2016 European Control Conference, ECC 2016

Other

Other2016 European Control Conference, ECC 2016
CountryDenmark
CityAalborg
Period6/29/167/1/16

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization

Cite this

Nguyen, D. H., Narikiyo, T., & Kawanishi, M. (2017). Multi-agent system consensus under input and state constraints. In 2016 European Control Conference, ECC 2016 (pp. 537-542). [7810340] (2016 European Control Conference, ECC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECC.2016.7810340