howmuchinformationisneededinquantizednonlinearcontrol

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	howmuchinformationisneededinquantizednonlinearcontrol
	Zheng Chuang 1; Li Lin 1; Wang Leyi 2; Li Chanying3
	2018
发表期刊	sciencechinainformationscience
ISSN	1674-733X
卷号	061 期号:009 页码:092205
摘要	Quantization rate is a crucial measure of complexity in determining stabilizability of control systems subject to quantized state measurements. This paper investigates quantization complexity for a class of nonlinear systems which are subjected to disturbances of unknown statistics and unknown bounds. This class of systems includes linear stablizable systems as special cases. Two lower bounds on the quantization rates are derived which guarantee input-to-state stabilizability for continuous-time and sampled-data feedback strategies, respectively. Simulation examples are provided to validate the results.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/48447
专题	系统科学研究所
作者单位	1.School of Mathematical Sciences,Beijing Normal University 2.Department of Electrical and Computer Engineering,Wayne State University 3.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Zheng Chuang,Li Lin,Wang Leyi,et al. howmuchinformationisneededinquantizednonlinearcontrol[J]. sciencechinainformationscience,2018,061(009):092205.
APA	Zheng Chuang,Li Lin,Wang Leyi,&Li Chanying.(2018).howmuchinformationisneededinquantizednonlinearcontrol.sciencechinainformationscience,061(009),092205.
MLA	Zheng Chuang,et al."howmuchinformationisneededinquantizednonlinearcontrol".sciencechinainformationscience 061.009(2018):092205.