Identification of Nonlinear Time-delay System Using Multi-dimensional Taylor Network Model

被引：0
|
作者：
Li, Chenlong
Yan, Hongsen [1 ]
机构：
[1] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON MANIPULATION, MANUFACTURING AND MEASUREMENT ON THE NANOSCALE (3M-NANO) - CONFERENCE PROCEEDINGS | 2018年
基金：
中国国家自然科学基金;
关键词：
identification; nonlinear time-delay system; MTN model; conjugate gradient method;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Combining multi-dimensional Taylor network (MTN) model with improved conjugate gradient (ICG) method, named ICG-MTN, is proposed for identification of nonlinear time-delay system in this paper. MTN is regarded as the identification model relying on its characteristic of strong approximation, and ICG method is regarded as the learning algorithm of MTN. Meanwhile, back propagation neural network (BPNN) is regarded as the method of comparison. By the experimental results, the nonlinear time-delay system can be identified effectively by the proposed method, and the effectiveness is better than the BPNN.
引用
收藏
页码：87 / 90
页数：4
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