Consensus problems in multiagent systems with event-triggered dynamic quantizers

Changgeng Luo; Xinsheng Wang; Yu Ren

doi:10.1155/2014/162658

Consensus problems in multiagent systems with event-triggered dynamic quantizers

Changgeng Luo
, Xinsheng Wang^*
, Yu Ren

^*Corresponding author for this work

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

3 Scopus citations

Abstract

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.

Original language	English
Article number	162658
Journal	Mathematical Problems in Engineering
Volume	2014
DOIs	https://doi.org/10.1155/2014/162658
State	Published - 2014
Externally published	Yes

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abstract = "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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AB - 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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DO - 10.1155/2014/162658

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SN - 1024-123X

VL - 2014

JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

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Consensus problems in multiagent systems with event-triggered dynamic quantizers

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