Nonlinear system identification based on NARX network

Hongwei Liu, Xiaodong Song

科研成果: 书/报告/会议事项章节会议稿件同行评审

18 引用 (Scopus)

摘要

This paper discusses identification of nonlinear system with nonlinear AutoRegressive models with eXogenous inputs (NARX). NARX network is a dynamic neural network which appears effective in the input-output identification of both linear and nonlinear systems. When identifying them by NARX model, the first step is to collect training data and the final results vary considerably with different training data. The paper compares the training results of three kinds of signals, including SPHS signal, Gaussian white noise and mixed signal. Our results show the response characteristics of NARX model trained by different signals can be used to design the input training signal.

源语言英语
主期刊名2015 10th Asian Control Conference
主期刊副标题Emerging Control Techniques for a Sustainable World, ASCC 2015
编辑Hazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781479978625
DOI
出版状态已出版 - 8 9月 2015
活动10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, 马来西亚
期限: 31 5月 20153 6月 2015

出版系列

姓名2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

会议

会议10th Asian Control Conference, ASCC 2015
国家/地区马来西亚
Kota Kinabalu
时期31/05/153/06/15

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