Computer Science – Systems and Control
Scientific paper
2011-09-17
Computer Science
Systems and Control
15 pages, 6 figures, submitted to IEEE TAC
Scientific paper
This paper considers the distributed consensus problems for multi-agent systems with general linear and Lipschitz nonlinear dynamics. Distributed relative-state consensus protocols with an adaptive law for adjusting the coupling weights between neighboring agents are designed for both the linear and nonlinear cases, under which consensus is reached for all undirected connected communication graphs. Extensions to the case with a leader-follower communication graph are further studied. In contrast to the existing results in the literature, the adaptive consensus protocols here can be implemented by each agent in a fully distributed fashion without using any global information.
Fu Mengyin
Li Zhongkui
Liu Xiangdong
Ren Wei
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