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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

3720

End Page

3725

Number of Pages

6

Start Date

2014-10-29

Finish Date

2014-11-01

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