Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism

This paper addresses the distributed H-infinity state estimation problem for a class of sensor networks with switching characteristics, where the switchings of parameters are presumed to obey persistent dwell-time switching mechanism rather than dwell time or average dwell-time ones in the discrete-time context. For the purpose of tracking the unavailable state of the target plant, a sensor network is formed by employing multiple sensor nodes distributed in space and worked cooperatively under a specific connection topology. The intention of the paper mainly centers on deriving some sufficient criteria for the addressed model to achieve the exponential mean-square stability with a prescribed H-infinity performance, and the estimator gains corresponding to differently constructed estimators are further solved by means of the convex optimization method. Finally, the validity of the proposed approach is illustrated by a numerical example. (C) 2021 Elsevier Inc. All rights reserved.

Automated summary

This paper discusses the distributed H-infinity state estimation problem for sensor networks with switching characteristics, where parameters switch according to a persistent dwell-time switching mechanism. The paper focuses on deriving criteria for achieving stability with H-infinity performance and solving estimator gains using convex optimization. The proposed approach is validated through a numerical example.