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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554244