Adaptive consensus control of coopetition networks with high-order agent dynamics

Yanzhi Wu, Jiangping Hu, Lixin Gao, Bijoy K. Ghosh

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

Abstract

In this paper, we consider consensus control of high-order multi-agent systems with antagonistic interactions and unknown disturbances. The interaction topology associated with the multi-agent system is described by a coopetition network. Linearly parameterized approaches are used to model the unknown disturbances. Some novel transformations are presented to design the distributed adaptive controllers, which guarantees that a bipartite consensus can be achieved for all the agents. At the same time, convergence of the bipartite consensus error is analyzed with the help of signed graph theory and the Barbalat's Lemma. Some simulation results are also provided to demonstrate the effectiveness of the proposed adaptive control strategy.

Original languageEnglish
Title of host publication2017 Asian Control Conference, ASCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1713-1718
Number of pages6
ISBN (Electronic)9781509015733
DOIs
StatePublished - Feb 7 2018
Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
Duration: Dec 17 2017Dec 20 2017

Publication series

Name2017 Asian Control Conference, ASCC 2017
Volume2018-January

Conference

Conference2017 11th Asian Control Conference, ASCC 2017
CountryAustralia
CityGold Coast
Period12/17/1712/20/17

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  • Cite this

    Wu, Y., Hu, J., Gao, L., & Ghosh, B. K. (2018). Adaptive consensus control of coopetition networks with high-order agent dynamics. In 2017 Asian Control Conference, ASCC 2017 (pp. 1713-1718). (2017 Asian Control Conference, ASCC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2017.8287432