Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

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 fi...

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Main Authors: Zhao-Jun Tang, Ting-Zhu Huang, Jin-Liang Shao
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/206408
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spelling doaj-0963caf094fd4440b49a16f2e8a7ab362020-11-24T21:57:48ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/206408206408Consensus of Multiagent Systems with Sampled Information and Noisy MeasurementsZhao-Jun Tang0Ting-Zhu Huang1Jin-Liang Shao2School of Science, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, ChinaWe 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.http://dx.doi.org/10.1155/2013/206408
collection DOAJ
language English
format Article
sources DOAJ
author Zhao-Jun Tang
Ting-Zhu Huang
Jin-Liang Shao
spellingShingle Zhao-Jun Tang
Ting-Zhu Huang
Jin-Liang Shao
Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
Discrete Dynamics in Nature and Society
author_facet Zhao-Jun Tang
Ting-Zhu Huang
Jin-Liang Shao
author_sort Zhao-Jun Tang
title Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
title_short Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
title_full Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
title_fullStr Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
title_full_unstemmed Consensus of Multiagent Systems with Sampled Information and Noisy Measurements
title_sort consensus of multiagent systems with sampled information and noisy measurements
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/206408
work_keys_str_mv AT zhaojuntang consensusofmultiagentsystemswithsampledinformationandnoisymeasurements
AT tingzhuhuang consensusofmultiagentsystemswithsampledinformationandnoisymeasurements
AT jinliangshao consensusofmultiagentsystemswithsampledinformationandnoisymeasurements
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