Pole assignment for stochastic systems with unknown coefficients
文献类型:期刊论文
作者 | Chen, HF; Cao, XR |
刊名 | SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
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出版日期 | 2000-06-01 |
卷号 | 43期号:3页码:313-323 |
关键词 | stochastic system leading control pole assignment adaptive control |
ISSN号 | 1006-9321 |
英文摘要 | This paper solves the exact pole assignment problem for the single-input stochastic systems with unknown coefficients under the controllability assumption which is necessary and sufficient for the arbitrary pole assignment for systems with known coefficients. The system noise is required to be mutually independent with zero mean and bounded second moment. Two approaches to solving the problem are proposed: One is the iterative learning approach which can be applied when the state at a fixed time can be repeatedly observed with different feedback gains; the other is the adaptive control approach which works when the trajectories satisfy a nondegeneracy condition. Both methods are essentially based on stochastic approximation, and the feedback gains are recursively given without invoking the certainty-equivalency-principle. |
WOS研究方向 | Engineering ; Materials Science |
语种 | 英语 |
WOS记录号 | WOS:000088248500011 |
出版者 | SCIENCE PRESS |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/15643] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Chen, HF |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Lab Syst & Control, Beijing 100080, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, HF,Cao, XR. Pole assignment for stochastic systems with unknown coefficients[J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,2000,43(3):313-323. |
APA | Chen, HF,&Cao, XR.(2000).Pole assignment for stochastic systems with unknown coefficients.SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,43(3),313-323. |
MLA | Chen, HF,et al."Pole assignment for stochastic systems with unknown coefficients".SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES 43.3(2000):313-323. |
入库方式: OAI收割
来源:数学与系统科学研究院
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