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Distributed state estimation for sensor networks with randomly occurring sensor saturations

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1 Citation (Scopus)

Abstract

This paper is concerned with the problem of distributed state estimation for a class of sensor networks characterized by the discrete-time dynamical systems. The discrete-time model with mixed time delays is used to express the target system. Outputs of the sensors are measured under randomly occurring saturations caused by physical restrictions of the sensors. By utilizing output measurements from each individual sensor and its neighboring sensors, we design distributed state estimators with a view to approximating the states of the target system in a distributed manner. Moreover, we show that the estimation error systems are globally asymptotically stable in the mean square, and also provide the explicit expressions of the distributed estimator gains.
Original languageEnglish
Title of host publicationProceedings 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014, Melbourne, Vic., 1-5 June 2014
PublisherIEEE
Pages2305-2308
Number of pages4
ISBN (Print)9781479934324
DOIs
Publication statusPublished - 2014
EventIEEE International Symposium on Circuits and Systems -
Duration: 1 Jun 2014 → …

Publication series

Name
ISSN (Print)0271-4310

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Period1/06/14 → …

Keywords

  • discrete-time systems
  • distributed systems
  • sensor networks
  • state estimation

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