Decentralized state feedback consensus of linear multi-agent systems with input saturation

Bo Liu, Ning Chen, Guisheng Zhai, Weihua Gui

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

Abstract

The decentralized state feedback consensus problem for multi-agent systems under actuator saturation is formulated in this paper. The entire system is decentralized in the sense that each agent can only obtain information from its neighbor agents. Firstly, a decentralized controller is designed based on graph Laplacian. The consensus problem is reduced to solve the matrix inequality problem under actuator saturation. Secondly, an optimization algorithm for feedback controller is proposed in order to achieve a large domain of attraction for the resulting closed-loop system. Finally, a numerical example is given to demonstrate the effectiveness of the design algorithm.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages57-61
Number of pages5
Volume13
EditionPART 1
DOIs
Publication statusPublished - 2013
Event13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, LSS 2013 - Shanghai, China
Duration: 2013 Jul 72013 Jul 10

Other

Other13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, LSS 2013
CountryChina
CityShanghai
Period13/7/713/7/10

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Liu, B., Chen, N., Zhai, G., & Gui, W. (2013). Decentralized state feedback consensus of linear multi-agent systems with input saturation. In IFAC Proceedings Volumes (IFAC-PapersOnline) (PART 1 ed., Vol. 13, pp. 57-61) https://doi.org/10.3182/20130708-3-CN-2036.00080