Consensus of multiagent systems with sampled information and noisy measurements
type: Item
instance of: scholarly article
title: Consensus of multiagent systems with sampled information and noisy measurements
zbMATH Open document ID: 1264.93227
DOI: 10.1155/2013/206408
author: Zhao-Jun Tang
author: Ting-Zhu Huang
author: Jin-Liang Shao
published in: Discrete Dynamics in Nature and Society
publication date: 2013-06-13T00:00:00Z
review text: Summary: We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. We provide conditions under which almost sure strong consensus is guaranteed for fixed and switching directed network topologies. Simulation results are provided to illustrate the theoretical results.
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93A14
zbMATH DE Number: 6175054
zbMATH Keywords: stochastic approximation type algorithm
zbMATH Keywords: first-order multiagent systems
zbMATH Keywords: sure strong consensus
zbMATH Keywords: network topologies
Wikidata QID: Q58921436
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/206408
OpenAlex ID: W2067084375
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description: scientific article; zbMATH DE number 6175054