howmuchinformationisneededinquantizednonlinearcontrol
文献类型：期刊论文
| 作者 | Zheng Chuang3; Li Lin3; Wang Leyi2; Li Chanying1
|
| 刊名 | sciencechinainformationscience
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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