Improved robust Kalman filtering for uncertain systems with missing measurements Rezaei, Hossein, Mohamed, Shady, Esfanjani, Reza Mahboobi and Nahavandi, Saeid 2014, Improved robust Kalman filtering for uncertain systems with missing measurements. In Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A. and Huang, K. (ed), Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III, Springer, Berlin, Germany, pp.509-518. Attached Files Name Description MIMEType Size Downloads Title Improved robust Kalman filtering for uncertain systems with missing measurements Author(s) Rezaei, Hossein Mohamed, Shady orcid.org/0000-0002-8851-1635 Esfanjani, Reza Mahboobi Nahavandi, Saeid Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III Editor(s) Loo, C. K. Yap, K. S. Wong, K. W. Teoh, A. Huang, K. Publication date 2014 Series Lecture notes in computer science; v.8836 Chapter number 62 Total chapters 83 Start page 509 End page 518 Total pages 10 Publisher Springer Place of Publication Berlin, Germany Keyword(s) Miss measurement Normbounded parameter uncertainties Robust Kalman filter State estimation Summary In this paper, a novel robust finite-horizon Kalman filter is developed for discrete linear time-varying systems with missing measurements and normbounded parameter uncertainties. The missing measurements are modelled by a Bernoulli distributed sequence and the system parameter uncertainties are in the state and output matrices. A two stage recursive structure is considered for the Kalman filter and its parameters are determined guaranteeing that the covariances of the state estimation errorsare not more than the known upper bound. Finally, simulation results are presented to illustrate the outperformance of the proposed robust estimator compared with the previous results in the literature. ISBN 9783319126425 ISSN 0302-9743 1611-3349 Language eng Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 920111 Nervous System and Disorders HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2014, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30071655 Document type: Book Chapter Collection: Centre for Intelligent Systems Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 20 Mar 2015, 14:10:39 EST Thu, 16 Apr 2015, 12:05:12 EST Thu, 16 Apr 2015, 16:10:40 EST Thu, 16 Apr 2015, 16:37:13 EST Thu, 16 Apr 2015, 16:38:28 EST Fri, 24 Apr 2015, 10:00:14 EST Tue, 19 May 2015, 14:46:59 EST Fri, 12 Jun 2015, 13:39:51 EST Wed, 21 Dec 2016, 13:41:17 EST Sat, 04 Mar 2017, 01:30:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 210 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Thu, 16 Apr 2015, 12:05:12 EST

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