中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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