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Decentralized robust state estimation via a data-rate constrained sensor network

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3 Author(s)
Cheng, T.M. ; Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia ; Malyavej, V. ; Savkin, A.V.

This paper considers a decentralized robust state estimation problem for uncertain systems via a data-rate constrained sensor network. The uncertainties of the systems satisfy an integral quadratic constraint. The sensor network consists of spatially distributed sensors that take the measurements of a system, and a fusion center where the state estimation is carried out. The communications from the sensors to the fusion center are through data-rate constrained communication channels. We propose an estimation scheme which involves coders and a decoder-estimator, and their construction is based on the robust Kalman filtering techniques.

Published in:

Decision and Control, 2008. CDC 2008. 47th IEEE Conference on

Date of Conference:

9-11 Dec. 2008