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Unbiased minimum-variance filtering for systems with randomly multi-step sensor delays
conference contribution
posted on 2018-09-04, 00:00 authored by Y Zhang, Fuwen Yang, Qing-Long Han© 2014 IEEE.In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which effectively reduces the filter dimensions. A recursive algorithm for calculating the filter gain matrix is developed. The simulation results illustrate the effectiveness of the proposed method.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Start Page
3720End Page
3725Number of Pages
6Start Date
2014-10-29Finish Date
2014-11-01ISSN
1553-572XISBN-13
9781479940325Location
Dallas, Texas, USAPublisher
IEEEPlace of Publication
USAPublisher DOI
Full Text URL
Peer Reviewed
- No
Open Access
- No
External Author Affiliations
University of Science and Technology, Shanghai 200237, P. R. ChinaAuthor Research Institute
- Centre for Intelligent Systems
Era Eligible
- Yes
Name of Conference
IECON 2014 – 40th Annual Conference of the IEEE Industrial Electronics SocietyUsage metrics
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