DocumentCode
1682267
Title
Finite-horizon quantized estimation using sector bound approach
Author
Wei, Li ; Zhang, Huanshui ; Fu, Minyue
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear
2010
Firstpage
900
Lastpage
903
Abstract
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.
Keywords
estimation theory; quantisation (signal); Riccati recursion; estimation error covariance; finite-horizon filtering estimation; finite-horizon quantized estimation; logarithmic; quantizer; reductive information; sector bound approach; true quantized measurement; Estimation error; Feedback control; Measurement uncertainty; Riccati equations; Robustness; Upper bound; Discrete-time system; logarithmic quantizer; quantized estimation; sector bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554244
Filename
5554244
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