DocumentCode :
592252
Title :
Infinite horizon lqg control with fixed-rate quantization
Author :
Minyue Fu ; Li Chai
Author_Institution :
Univ. of Newcastle, Callaghan, NSW, Australia
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
3311
Lastpage :
3316
Abstract :
In this paper, we consider infinite-horizon linear quadratic Gaussian (LQG) control systems with the constraint that the measurement signal is quantized by a fixed-rate quantizer before going into the controller. It has been shown recently that only weak separation principle holds for the LQG control system with communication channels. It has also been shown that the separation principle holds approximately for quantized LQG control in the finite-horizon setting under the assumption of high-resolution quantization. We propose an adaptive fixed-rate quantizer for feedback control design to achieve the mean-square stability and good LQG performance, where the long-term average cost is divided into two parts: the first part depends on the classical LQG cost, and the second part depends on the distortion of the quantizer.
Keywords :
adaptive control; control system synthesis; discrete systems; feedback; infinite horizon; least mean squares methods; linear quadratic Gaussian control; stability; adaptive fixed-rate quantizer; communication channels; feedback control design; finite-horizon setting; fixed-rate quantization; high-resolution quantization; infinite horizon LQG control; linear quadratic Gaussian control systems; long-term average cost; mean-square stability; weak separation principle; Asymptotic stability; Control systems; Cost function; Distortion measurement; State estimation; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426048
Filename :
6426048
Link To Document :
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