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Nonlinear System Modeling Method of Using Orthonormal Function(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2004年06期
Page:
612-616
Research Field:
Publishing date:

Info

Title:
Nonlinear System Modeling Method of Using Orthonormal Function
Author(s):
SUN Dong-meiLI Yong-xin BU Xiong-zhu
School of Mechanical Engineering, NUST, Nanjing 210094, China
Keywords:
Wiener functional orthonormal expansion nonlinear system modeling
PACS:
O231
DOI:
-
Abstract:
A nonlinear system modeling schemewas proposed. This scheme consists of three sections: a signa-l independent standard orthonormal expansion, standard Wiener functional series derived from an estimate of vector probability density function, and a linear combiner of functional series. The prediction and identification performance of these nonlinear structures were examined by an example, which models a sensor according to the results of calibration.

References:

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[2] 卜雄洙, 朱明武. 模型选择方法在传感器建模中的应用[ J] . 南京理工大学学报( 自然科学版) , 1995, 19 ( 3) : 223~ 226.
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[ 4] Voros J. Parameter identification of Wiener systems with discontinuous nonlinearities [ J] . Elsevier Science ( B V) , 2001, 44: 363~ 372. [ 5] Lennart Ljung. 系统辨识[M] . 上海: 华东师范大学出版社, 1988.
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Memo:
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Last Update: 2013-03-11