Identification of nonlinear dynamic systems using Hammerstein-type neural network

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	Identification of nonlinear dynamic systems using Hammerstein-type neural network
	Yu HS(余洪山); Peng, Jinzhu; Tang YD(唐延东)
刊名	Mathematical Problems in Engineering
	2014
卷号	2014 期号:2014
ISSN号	1024-123X
通讯作者	余洪山
产权排序	1
中文摘要	Hammerstein model has been popularly applied to identify the nonlinear systems. In this paper, a Hammerstein-type neural network (HTNN) is derived to formulate the well-known Hammerstein model. The HTNN consists of a nonlinear static gain in cascade with a linear dynamic part. First, the Lipschitz criterion for order determination is derived. Second, the backpropagation algorithm for updating the network weights is presented, and the stability analysis is also drawn. Finally, simulation results show that HTNN identification approach demonstrated identification performances.
类目[WOS]	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
研究领域[WOS]	Engineering ; Mathematics
关键词[WOS]	PREDICTIVE CONTROL ; WIENER MODELS
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000345050300001
公开日期	2015-02-04
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/15661]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Yu HS,Peng, Jinzhu,Tang YD. Identification of nonlinear dynamic systems using Hammerstein-type neural network[J]. Mathematical Problems in Engineering,2014,2014(2014).
APA	Yu HS,Peng, Jinzhu,&Tang YD.(2014).Identification of nonlinear dynamic systems using Hammerstein-type neural network.Mathematical Problems in Engineering,2014(2014).
MLA	Yu HS,et al."Identification of nonlinear dynamic systems using Hammerstein-type neural network".Mathematical Problems in Engineering 2014.2014(2014).