DocumentCode
550756
Title
Quantized control for stochastic system
Author
Wei Li ; Zhang Huanshui ; Fu Minyue
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear
2011
fDate
22-24 July 2011
Firstpage
152
Lastpage
157
Abstract
This paper considers the coarsest quantization control problem. Different from the previous works [4] where the systems are restricted to be deterministic, we focus on the feedback quantization control for general stochastic systems with multiplicative noises. It is showed that the coarsest quantizer that stabilize the multiplicative-noise stochastic system in mean square sense is logarithmic, and the quantization density of which is larger than the results obtained in [4] for deterministic systems for the deterioration of multiplicative noises. Also, we explore that the solvability of the quantizer density is related to a special stochastic linear control problem.
Keywords
feedback; least mean squares methods; linear systems; stability; stochastic systems; coarsest quantizer; deterministic system; feedback quantization control; mean square stability; multiplicative noise; quantization density; stochastic linear control; stochastic system; Feedback control; Lyapunov methods; Noise; Quantization; Riccati equations; Stochastic systems; Feedback Control; Mean-square Stability; Multiplicative Noise; Quantization; Stochastic;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6001096
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