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题名: Identification of nonlinear dynamic systems using Hammerstein-type neural network
作者: Yu HS(余洪山); Peng, Jinzhu; Tang YD(唐延东)
作者部门: 机器人学研究室
关键词: Engineering Village
刊名: Mathematical Problems in Engineering
ISSN号: 1024-123X
出版日期: 2014
卷号: 2014, 期号:2014
收录类别: SCI ; EI
产权排序: 1
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.
语种: 英语
WOS记录号: WOS:000345050300001
类目[WOS]: Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]: PREDICTIVE CONTROL ; WIENER MODELS
研究领域[WOS]: Engineering ; Mathematics
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15661
Appears in Collections:机器人学研究室_期刊论文

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