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Unbiased minimum-variance filtering for systems with randomly multi-step sensor delays

conference contribution
posted on 04.09.2018, 00:00 by Y Zhang, Fuwen YangFuwen Yang, Qing-Long HanQing-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

3720

End Page

3725

Number of Pages

6

Start Date

29/10/2014

Finish Date

01/11/2014

ISSN

1553-572X

ISBN-13

9781479940325

Location

Dallas, Texas, USA

Publisher

IEEE

Place of Publication

USA

Peer Reviewed

No

Open Access

No

External Author Affiliations

University of Science and Technology, Shanghai 200237, P. R. China

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Name of Conference

IECON 2014 – 40th Annual Conference of the IEEE Industrial Electronics Society