DocumentCode :
435137
Title :
Stability of quantized linear systems with bounded noise under dynamic bit assignment
Author :
Ling, Qiang ; Lemmon, Michael D.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume :
2
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
1454
Abstract :
This paper studies the stability of quantized linear control systems with external noise under the fixed-length coding policies. A vector of feedback measurements is quantized prior to being transmitted over a communication channel. This transmitted data may be dropped by the channel. This paper derives a lower bound on the number of quantization levels for closed-loop stability under fixed-length coding policies. Prior studies consider each component of the feedback vector separately, which may not achieve the above lower bound. This paper considers the feedback vector as a whole and introduces a dynamic bit assignment algorithm that is shown to achieve this lower bound.
Keywords :
closed loop systems; discrete systems; encoding; feedback; linear systems; quantisation (signal); stability; bounded noise; closed-loop stability; communication channel; dynamic bit assignment; external noise; feedback measurement; feedback vector; fixed-length coding policies; quantized linear control system; system stability; transmitted data; Closed loop systems; Communication channels; Communication system control; Control systems; Decoding; Feedback; Linear systems; Quantization; Stability; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1430248
Filename :
1430248
Link To Document :
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