DocumentCode
2853389
Title
Synthesis of dynamic quantizers for quantized feedback systems within invariant set analysis framework
Author
Sawada, K. ; Shin, S.
Author_Institution
Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Tokyo, Japan
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1662
Lastpage
1667
Abstract
This paper focuses on quantized feedback systems which consist of the linear system and the dynamic quantizer. From the perspective of the invariant set analysis, we discuss the effectiveness and the limitation of our quantizer synthesis condition considering several performances. If the all transmission zeros of the given system are stable, the proposed quantizer gives an optimal output approximation property. Otherwise, our method can design a stable suboptimal quantizer guaranteed with infinite time control performance. The numerical examples show that our quantizer can achieve the coarsely-quantized signal, while avoiding the excess performance deterioration.
Keywords
approximation theory; control system synthesis; discrete systems; feedback; linear systems; set theory; coarsely-quantized signal; discrete-valued control theory; dynamic quantizer; infinite time control performance; invariant set analysis framework; linear system; output approximation property; quantized feedback system; quantizer synthesis condition; Approximation methods; Control systems; Cost function; Design methodology; Linear matrix inequalities; Quantization; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5991177
Filename
5991177
Link To Document