Adaptive consensus for multiple nonidentical matching nonlinear systems: An edge-based framework

Yu Zhao; Guanghui Wen; Zhisheng Duan; Guanrong Chen

doi:10.1109/TCSII.2014.2362712

Adaptive consensus for multiple nonidentical matching nonlinear systems: An edge-based framework

Yu Zhao, Guanghui Wen, Zhisheng Duan, Guanrong Chen

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

This brief studies the distributed consensus problem for multiple nonidentical matching nonlinear systems. In fully distributed fashion, a class of edge-based protocols with adaptive coupling strengths is proposed. By using a combined tool from nonsmooth control theory and matrix analysis, it is proved that the states of the agents equipped with the designed protocols will achieve consensus under an arbitrarily given connected topology. A remarkable feature of this approach is that the final consensus value of the closed-loop multiagent systems is analytically derived when there is no external disturbance.

Original language	English
Article number	6922515
Pages (from-to)	85-89
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	62
Issue number	1
DOIs	https://doi.org/10.1109/TCSII.2014.2362712
State	Published - 1 Jan 2015
Externally published	Yes

Keywords

adaptive control
Complex network
distributed consensus
final consensus value

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10.1109/TCSII.2014.2362712

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abstract = "This brief studies the distributed consensus problem for multiple nonidentical matching nonlinear systems. In fully distributed fashion, a class of edge-based protocols with adaptive coupling strengths is proposed. By using a combined tool from nonsmooth control theory and matrix analysis, it is proved that the states of the agents equipped with the designed protocols will achieve consensus under an arbitrarily given connected topology. A remarkable feature of this approach is that the final consensus value of the closed-loop multiagent systems is analytically derived when there is no external disturbance.",

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Adaptive consensus for multiple nonidentical matching nonlinear systems: An edge-based framework

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Keywords

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