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	Recursive algorithm for the two-stage EFOP estimation method
	Luo GuiMing ; Huang Jian
	2010-05-07 ; 2010-05-07
关键词	EFOP estimation Black-box models two-stage EFOP recursive algorithm IDENTIFICATION SYSTEMS MODELS Computer Science, Information Systems
中文摘要	A recursive algorithm for the two-stage empirical frequency-domain optimal parameter (EFOP) estimation method was proposed. The EFOP method was a novel system identification method for Black-box models that combines time-domain estimation and frequency-domain estimation. It has improved anti-disturbance performance, and could precisely identify models with fewer sample numbers. The two-stage EFOP method based on the boot-strap technique was generally suitable for Black-box models, but it was an iterative method and takes too much computation work so that it did not work well online. A recursive algorithm was proposed for disturbed stochastic systems. Some simulation examples are included to demonstrate the validity of the new method.
语种	英语 ; 英语
出版者	SCIENCE CHINA PRESS ; BEIJING ; 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/16755]
专题	清华大学
推荐引用方式 GB/T 7714	Luo GuiMing,Huang Jian. Recursive algorithm for the two-stage EFOP estimation method[J],2010, 2010.
APA	Luo GuiMing,&Huang Jian.(2010).Recursive algorithm for the two-stage EFOP estimation method..
MLA	Luo GuiMing,et al."Recursive algorithm for the two-stage EFOP estimation method".(2010).

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