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• W2507430299 abstract "In this paper, an average bipartite consensus control problem is investigated for a high-order multi-agent system with non-identical unknown nonlinear dynamics on a coopetition network. Firstly, the average bipartite consensus problem is formulated for a high-order multi-agent system. Then, linearly parameterized models are used to describe the unknown dynamics. Simultaneously, adaptive estimation laws are designed for the unknown dynamics and time-varying coupling weights as well. Furthermore, a bipartite consensus control is proposed for each agent with the help of the adaptive laws to guarantee the average bipartite consensus. The convergence of the close-loop multi-agent system under the proposed consensus control is analyzed. Finally, simulation results are provided to validate the theoretical results." @default.
• W2507430299 created "2016-09-16" @default.
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• W2507430299 date "2016-05-01" @default.
• W2507430299 modified "2023-09-26" @default.
• W2507430299 title "Adaptive average bipartite consensus control of high-order multi-agent systems on coopetition networks" @default.
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• W2507430299 doi "https://doi.org/10.1109/ccdc.2016.7531190" @default.
• W2507430299 hasPublicationYear "2016" @default.
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