R. Morita, T. Wada, I. Masubuchi, T. Asai, Y. Fujisaki
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引用次数: 1
Abstract
A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified. Finally a numerical example is shown and a presented theorem is demonstrated.
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