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Adaptive bipartite tracking control for coopetition networks
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.ORCID iD: 0000-0003-0177-1993
2015 (English)In: Chinese Control Conference, CCC, IEEE Computer Society, 2015, 7067-7072 p.Conference paper (Refereed)Text
Abstract [en]

Cooperation and competition are two typical interactional relationships in natural and engineering networked systems. Some interesting collective behaviors can emerge through local interactions within the networked systems. This paper considers a bipartite consensus for a group of agents interacting both cooperatively and competitively. Meanwhile, the intrinsic nonlinear dynamics of all the agents are unknown for the neighboring agents. Thus, the interaction network, which we call a coopetition network, is firstly represented by a signed graph. Then, some adaptive estimate laws are proposed for the unknown dynamics. Finally, an adaptive tracking control is designed for each agent to reach a bipartite consensus on the state of the leader. Some sufficient conditions are derived for bipartite consensus of multi-agent systems with the help of a structural balance theory. Simulation results are provided to demonstrate the bipartite consensus formation.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015. 7067-7072 p.
Keyword [en]
Adaptive Bipartite Consensus, Coopetition Networks, Structural Balance, Unknown Dynamics
National Category
Computer Science
URN: urn:nbn:se:kth:diva-181571DOI: 10.1109/ChiCC.2015.7260757ScopusID: 2-s2.0-84946600972ISBN: 9789881563897OAI: diva2:909230
34th Chinese Control Conference, CCC 2015, 28 July 2015 through 30 July 2015

QC 20160304

Available from: 2016-03-04 Created: 2016-02-02 Last updated: 2016-03-04Bibliographically approved

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Hu, Xiaoming
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ReferencesLink to record
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