howmuchinformationisneededinquantizednonlinearcontrol

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	howmuchinformationisneededinquantizednonlinearcontrol
	Zheng Chuang 3; Li Lin 3; Wang Leyi 2; Li Chanying1
刊名	sciencechinainformationscience
	2018
卷号	061 期号:009 页码:092205
ISSN号	1674-733X
英文摘要	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
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/48446]
专题	系统科学研究所
作者单位	1.中国科学院数学与系统科学研究院 2.Department of Electrical and Computer Engineering,Wayne State University 3.School of Mathematical Sciences,Beijing Normal University
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.