Title :
An Optimal Dynamic Quantization Scheme for Control With Discrete-Valued Input
Author :
Azuma, Shun-ichi ; Sugie, Toshiharu
Author_Institution :
Kyoto Univ., Kyoto
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;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282140