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Finite-horizon quantized estimation using sector bound approach

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conference contribution
posted on 2025-05-08, 13:46 authored by Li Wei, Huanshui Zhang, Minyue FuMinyue Fu
This paper is concerned with the finite-horizon filtering estimation problem by using the reductive information of the true quantized measurements from the measurements. We consider the case where quantizer is logarithmic, an upper bound of the estimation error covariance is derived for all the quantized measurements. The calculation of the filter involves solving two Riccati recursions related to the quantized measurements.

History

Source title

Proceedings of the 8th World Congress on Intelligent Control and Automation

Name of conference

8th World Congress on Intelligent Control and Automation (WCICA 2010)

Location

Jinan, China

Start date

2010-07-07

End date

2010-07-09

Pagination

900-903

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Picastaway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

Copyright © 2010 IEEE. Reprinted from the Proceedings of the 8th World Congress on Intelligent Control and Automation (Jinan, China 7-9 July, 2010) p. 900-903. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle products's or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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