Nonconvex stochastic optimization for model reduction
文献类型:期刊论文
作者 | Chen, HF; Fang, HT |
刊名 | JOURNAL OF GLOBAL OPTIMIZATION
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出版日期 | 2002-08-01 |
卷号 | 23期号:3-4页码:359-372 |
关键词 | stochastic optimization model reduction balanced truncation Hankel norm approximation |
ISSN号 | 0925-5001 |
英文摘要 | In this paper a global stochastic optimization algorithm, which is almost surely (a.s.) convergent, is applied to the model reduction problem. The proposed method is compared with the balanced truncation and Hankel norm approximation methods by examples in step responses and in approximation errors as well. Simulation shows that the proposed algorithm provides better results. |
WOS研究方向 | Operations Research & Management Science ; Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000177101700009 |
出版者 | KLUWER ACADEMIC PUBL |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/17606] ![]() |
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 | Chinese Acad Sci, Lab Syst & Control, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, HF,Fang, HT. Nonconvex stochastic optimization for model reduction[J]. JOURNAL OF GLOBAL OPTIMIZATION,2002,23(3-4):359-372. |
APA | Chen, HF,&Fang, HT.(2002).Nonconvex stochastic optimization for model reduction.JOURNAL OF GLOBAL OPTIMIZATION,23(3-4),359-372. |
MLA | Chen, HF,et al."Nonconvex stochastic optimization for model reduction".JOURNAL OF GLOBAL OPTIMIZATION 23.3-4(2002):359-372. |
入库方式: OAI收割
来源:数学与系统科学研究院
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