Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

Zhao-Jun Tang, Ting-Zhu Huang and Jin-Liang Shao

Discrete Dynamics in Nature and Society, 2013, vol. 2013, 1-9

Abstract:

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:206408

DOI: 10.1155/2013/206408

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