On the convergence of time-varying fusion algorithms: Application to localization in dynamic networks

Abstract

In this paper, we study the convergence of dynamic fusion algorithms that can be modeled as Linear Time-Varying (LTV) systems with (sub-) stochastic system matrices. Instead of computing the joint spectral radius, we partition the entire set of system matrices into slices, whose lengths characterize the stability (convergence) of the underlying LTV system… (More)
DOI: 10.1109/CDC.2016.7799019

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