Title :
Quantized control for stochastic system
Author :
Wei Li ; Zhang Huanshui ; Fu Minyue
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
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;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768