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• W2005462718 abstract "This paper considers stochastic consensus problems over lossy wireless networks. We first propose a measurement model with a random link gain, additive noise, and Markovian lossy signal reception, which captures uncertain operational conditions of practical networks. For consensus seeking, we apply stochastic approximation and derive a Markovian mode dependent recursive algorithm. Mean square and almost sure (i.e., probability one) convergence analysis is developed via a state space decomposition approach when the coefficient matrix in the algorithm satisfies a zero row and column sum condition. Subsequently, we consider a model with arbitrary random switching and a common stochastic Lyapunov function technique is used to prove convergence. Finally, our method is applied to models with heterogeneous quantizers and packet losses, and convergence results are proved." @default.
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• W2005462718 date "2010-10-01" @default.
• W2005462718 modified "2023-10-02" @default.
• W2005462718 title "Stochastic consensus over noisy networks with Markovian and arbitrary switches" @default.
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• W2005462718 doi "https://doi.org/10.1016/j.automatica.2010.06.016" @default.
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