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Bipartite tracking consensus of nonlinear multi-agent systems

Xuxi Zhang, Xianping Liu, Frank L. Lewis and Xia Wang

Physica A: Statistical Mechanics and its Applications, 2020, vol. 545, issue C

Abstract: This paper is devoted to the bipartite tracking consensus of a class of nonlinear multi-agent systems under directed signed graph. For dealing with the nonlinear terms in the bipartite tracking consensus problem of multi-agent systems, a new generalized Lipschitz-type condition is introduced. Then, both state feedback and output feedback control protocols are proposed. By using algebraic Riccati equation design and linear matrix inequality technique, some sufficient conditions are presented to guarantee that the nonlinear multi-agent systems can achieve bipartite tracking consensus. Finally, some simulation examples are provided to illustrate the efficiency of the proposed control strategy.

Keywords: Bipartite tracking; Multi-agent systems; Nonlinear dynamics; Observer; Dynamic output feedback (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119319557

DOI: 10.1016/j.physa.2019.123504

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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