DocumentCode :
3314999
Title :
Robust H optimal signal predictive quantization
Author :
Chen, Yuepeng ; Zhang, Jingxin ; Li, Shenpeng ; Chai, Li
Author_Institution :
Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
5953
Lastpage :
5958
Abstract :
This paper investigates optimal signal predictive quantization in the presence of source model uncertainties. It uses polytopic system model to represent the uncertainties in source signal and uses the recent results on robust filtering to obtain a robust H optimal design of signal predictor. Results of computational study is presented to demonstrate the advantages of the obtained design.
Keywords :
H control; filtering theory; quantisation (signal); polytopic system model; robust H optimal design; robust filtering; signal predictive quantization; signal predictor; source model uncertainties; source signal uncertainties; Automatic control; Automation; Filter bank; Filtering; Predictive models; Quantization; Robustness; Signal design; Uncertainty; White noise; H optimization; Robust predictive quantization; polytopic system model; source model uncertainties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5400725
Filename :
5400725
Link To Document :
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