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Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics

Yu, Wenwu ; Ren, Wei ; Zheng, Wei Xing ; Chen, Guanrong ; Lü, Jinhu

Automatica (Oxford), 2013-07, Vol.49 (7), p.2107-2115 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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Título:
Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics
Autor: Yu, Wenwu ; Ren, Wei ; Zheng, Wei Xing ; Chen, Guanrong ; Lü, Jinhu
Assuntos: Adaptive structures ; Agents (artificial intelligence) ; Algebraic graph theory ; Applied sciences ; Combinatorics ; Combinatorics. Ordered structures ; Complex network ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Control systems ; Design engineering ; Distributed adaptive law ; Dynamical systems ; Exact sciences and technology ; Expert systems ; Gain ; Graph theory ; Information retrieval. Graph ; Leader–follower consensus ; Mathematics ; Multi-agent system ; Nonlinear dynamics ; Sciences and techniques of general use ; Second-order consensus ; Software ; Synchronization ; Theoretical computing
É parte de: Automatica (Oxford), 2013-07, Vol.49 (7), p.2107-2115
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: This paper discusses the design of distributed control gains for consensus in multi-agent systems with second-order nonlinear dynamics. First, an effective distributed adaptive gain-design strategy is proposed based only on local information of the network structure. Then, a leader–follower consensus problem in multi-agent systems with updated control gains is studied. A distributed adaptive law is then proposed for each follower based on local information of neighboring agents and the leader if this follower is an informed agent. Furthermore, a distributed leader–follower consensus problem in multi-agent systems with unknown nonlinear dynamics is investigated by combining the variable structure approach and the adaptive method. Finally, simulation examples are given to illustrate the theoretical analysis.
Editor: Kidlington: Elsevier Ltd
Idioma: Inglês

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Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics

Yu, Wenwu ; Ren, Wei ; Zheng, Wei Xing ; Chen, Guanrong ; Lü, Jinhu

Kidlington: Elsevier Ltd

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