Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers | Zendy

Chang-geng Luo | Zendy; Xinsheng Wang | Zendy; Yu Ren | Zendy

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Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers

Author(s) -

Chang-geng Luo,

Xinsheng Wang,

Yu Ren

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/162658

Subject(s) - quantization (signal processing) , consistency (knowledge bases) , computer science , multi agent system , state (computer science) , consensus , event (particle physics) , distributed computing , control theory (sociology) , control (management) , algorithm , artificial intelligence , physics , quantum mechanics

Considering the constrained communication data rate and compute capability that commonly exists in multiagent systems, this paper modifies a current consensus strategy by introducing a kind of dynamic quantizer in both state feedback and control input and updates dynamic quantizers by employing event-triggered strategies, thus forming a new quantitative consensus strategy. The numerical simulation example is built for state quantization and the results show the consistency with expectation.

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