Stochastic Consensus over Multi-Channel Networks of MIMO Linear Symmetric Agents

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  • Hanada Kenta
    Graduate School of Information Science and Technology, Osaka University
  • Wada Takayuki
    Graduate School of Information Science and Technology, Osaka University
  • Masubuchi Izumi
    Graduate School of System Informatics, Kobe University
  • Asai Toru
    Graduate School of Engineering, Nagoya University
  • Fujisaki Yasumasa
    Graduate School of Information Science and Technology, Osaka University

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  • Stochastic Consensus over Multi-Channel Networks of MIMO Liner Symmetric Agents

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<p>Multi-agent systems over noisy networks with multi-input/multi-output linear symmetric agents are considered. The information is assumed to be sent from an agent to its neighbors via multi-channels. The communication graph of each channel is allowed to be time varying and a different topology. The entire network which is defined by the union of all graph is assumed to be connected in an undirected graph case or weakly connected and balanced in a directed one. The aim of this study is to establish a stopping rule of a stochastic averaging consensus under a noisy and time-varying network. The convergence analysis reveals an explicit relation between the number of iterations and the closeness of the consensus. The results are illustrated through numerical examples.</p>

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