DocumentCode
582525
Title
Intermittent quantized Kalman filtering and LQG control based on Lloyd-Max quantizer
Author
Zhiping, Shen ; Junyong, Chen
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
fYear
2012
fDate
25-27 July 2012
Firstpage
5698
Lastpage
5703
Abstract
The purpose of this paper is to discuss the batch intermittent quantized Kalman filter(BIQKF) and LQG control over lossy digital links using dynamic Lloyd-Max quantizer. A necessary and sufficient condition is presented for the Stability of the BIQKF. The condition, which is expressed in terms of the bit rate and the arrival probability initially. Under the assumption that the observation is approximately Gaussian, it is shown that the separation principle remains valid under the quantized output signal which is used to be transmitted over lossy networks. The optimal LQG controller is then given in terms of two Riccati difference equations associated respectively with the Kalman filter with intermittent quantized observations and the standard LQR control. The corresponding minimum cost is also derived.
Keywords
Gaussian processes; Kalman filters; Riccati equations; approximation theory; control engineering computing; difference equations; linear quadratic Gaussian control; quantisation (signal); stability; wireless sensor networks; BIQKF stability; Gaussian approximation; LQG control; Lloyd-Max quantizer; Riccati difference equation; arrival probability; batch intermittent quantized Kalman filtering; bit rate; linear quadratic Gaussian control; lossy digital link; lossy network; minimum cost; necessary condition; separation principle; sufficient condition; wireless sensor network; Bit rate; Estimation; Kalman filters; Loss measurement; Quantization; Silicon; Wireless sensor networks; Information filter; Kalman filter; Lloyd-max quantizer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390939
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