期刊
AUTOMATICA
卷 48, 期 8, 页码 1575-1585出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2012.05.070
关键词
Discrete time-varying systems; Distributed H-infinity state estimation; Recursive Riccati difference equations; Sensor networks; Stochastic nonlinearities; Stochastic parameters
资金
- Engineering and Physical Sciences Research Council (EPSRC) of the UK [GR1S27658/01]
- Royal Society of the UK
- National Natural Science Foundation of China [61028008, 61134009, 61004067, 60974030]
- Natural Science Foundation of Universities in Anhui Province of China [KJ2011B030]
- Alexander von Humboldt Foundation of Germany
This paper deals with the distributed H-infinity state estimation problem for a class of discrete timevarying nonlinear systems with both stochastic parameters and stochastic nonlinearities. The system measurements are collected through sensor networks with sensors distributed according to a given topology. The purpose of the addressed problem is to design a set of time-varying estimators such that the average estimation performance of the networked sensors is guaranteed over a given finite-horizon. Through available output measurements from not only the individual sensor but also its neighboring sensors, a necessary and sufficient condition is established to achieve the H-infinity performance constraint, and then the estimator design scheme is proposed via a certain H-2-type criterion. The desired estimator parameters can be obtained by solving coupled backward recursive Riccati difference equations (RDEs). A numerical simulation example is provided to demonstrate the effectiveness and applicability of the proposed estimator design approach. (C) 2012 Elsevier Ltd. All rights reserved.
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