Abstract:
Recent research on distributed parameter estimation often focuses on undirected or strongly connected and balanced networks. In this paper, we study the distributed param...Show MoreMetadata
Abstract:
Recent research on distributed parameter estimation often focuses on undirected or strongly connected and balanced networks. In this paper, we study the distributed parameter estimation problem for sensor networks under unreliable directed networks. A “consensus+innovation” type algorithm is proposed for each sensor or agent. We prove both mean square and almost sure convergence of the algorithm. We also derive a new general condition for directed networks. In the special case where the networks are undirected or strongly connected and balanced, the condition boils down to the global observability condition considered in the existing results.
Published in: 2015 54th IEEE Conference on Decision and Control (CDC)
Date of Conference: 15-18 December 2015
Date Added to IEEE Xplore: 11 February 2016
ISBN Information: