DocumentCode
3158531
Title
An Optimal Dynamic Quantization Scheme for Control With Discrete-Valued Input
Author
Azuma, Shun-ichi ; Sugie, Toshiharu
Author_Institution
Kyoto Univ., Kyoto
fYear
2007
fDate
9-13 July 2007
Firstpage
3576
Lastpage
3581
Abstract
This paper presents optimal dynamic quantizers for controlling linear time-invariant systems with the discrete- valued input. The quantizers considered here are in the form of a difference equation, for which we find a quantizer such that the system composed of a given linear plant and the quantizer is an optimal approximation of the given linear plant in the sense of the input-output relation. First, we derive a closed form expression for the performance (the degree of the approximation) of a class of dynamic quantizers. Next, based on this, an optimal dynamic quantizer and its performance, corresponding to the performance limitation of the dynamic quantizers, are provided. Finally, the validity of the proposed quantizer is shown by numerical simulations.
Keywords
approximation theory; difference equations; discrete systems; linear systems; optimal control; difference equation; discrete-valued input; input-output relation; linear plant; linear time-invariant systems; optimal approximation; optimal dynamic quantization scheme; Cities and towns; Control systems; Controllability; Difference equations; Feedback control; Networked control systems; Nonlinear dynamical systems; Numerical simulation; Optimal control; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282140
Filename
4282140
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