Abstract
In this chapter, we consider three representative problems on observability and estimation over networks in the presence of randomness. The aim of this work is to highlight that these problems, among many others, can be approached via a unified formulation. The unified formulation can subsequently be utilized for proving almost sure stability and convergence of filtering algorithms over distinct classes of random networks. More specifically, we show stability and convergence properties of random variations on the coordinated decentralized estimation using this approach. We then proceed to study the effect of the random network structure on the performance of the estimation algorithms.
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Nabi-Abdolyousefi, M. (2014). Coordinated Decentralized Estimation Over Random Networks. In: Controllability, Identification, and Randomness in Distributed Systems. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-02429-5_9
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DOI: https://doi.org/10.1007/978-3-319-02429-5_9
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