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Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

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  • Zhao-Jun Tang
  • Ting-Zhu Huang
  • Jin-Liang Shao

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.

Suggested Citation

  • Zhao-Jun Tang & Ting-Zhu Huang & Jin-Liang Shao, 2013. "Consensus of Multiagent Systems with Sampled Information and Noisy Measurements," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-9, February.
    • Handle: RePEc:hin:jnddns:206408
    DOI: 10.1155/2013/206408
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