Consensus problems in multiagent systems with event-triggered dynamic quantizers
type: Item
instance of: scholarly article
title: Consensus problems in multiagent systems with event-triggered dynamic quantizers
zbMATH Open document ID: 1407.93027
DOI: 10.1155/2014/162658
author: Changgeng Luo
author: Yu Ren
author: Xin Sheng Wang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 93C62
Mathematics Subject Classification ID: 93D15
zbMATH DE Number: 7015824
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/162658
OpenAlex ID: W2026654898
Wikidata QID: Q59063397
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description: scientific article; zbMATH DE number 7015824