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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Bibliographic Details
Main Authors: Zhao-Jun Tang, Ting-Zhu Huang, Jin-Liang Shao
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/206408
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