Convergence and Accuracy Analysis for A Distributed Static State Estimator based on Gaussian Belief Propagation

Autor:	Marelli, Damián, Sui, Tianju, Fu, Minyue, Sun, Ximing
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	This paper focuses on the distributed static estimation problem and a Belief Propagation (BP) based estimation algorithm is proposed. We provide a complete analysis for convergence and accuracy of it. More precisely, we offer conditions under which the proposed distributed estimator is guaranteed to converge and we give concrete characterizations of its accuracy. Our results not only give a new algorithm with good performance but also provide a useful analysis framework to learn the properties of a distributed algorithm. It yields better theoretical understanding of the static distributed state estimator and may generate more applications in the future.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.01969 Zobrazit plný text záznamu View this record from Arxiv