Identification of nonlinear dynamic systems using diagonal recurrent neural networks

被引：0
|
作者：
Wang, J [1 ]
Chen, H [1 ]
机构：
[1] Univ Sci & Technol Beijing, Informat Engn Sch, Beijing 100083, Peoples R China
来源：
JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING | 1999年 / 6卷 / 02期
关键词：
neural network; system identification; intelligent control; control system models; learning method;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to apply a new dynamic neural network- Diagonal Recurrent Neural Network (DRNN) to the system identification of nonlinear dynamic systems and construct more accurate system models, the structure and learning method (DBP algorithm) of the DRNN are presented. Nonlinear system characteristics can be identified by presenting a set of input / output patterns to the DRNN and adjusting its weights with the DBP algorithm. Experimental results show that the DRNN has good performances in the identification of nonlinear dynamic systems in comparison with BP networks.
引用
下载
收藏
页码：149 / 151
页数：3
相关论文
共 50 条
  • [1] Identification of nonlinear dynamic systems using diagonal recurrent neural networks
    Wang, Jing
    Chen, Hui
    Journal of University of Science and Technology Beijing: Mineral Metallurgy Materials (Eng Ed), 1999, 6 (02): : 149 - 151
  • [2] Identification of Nonlinear Dynamic Systems Using Diagonal Recurrent Neural Networks
    Jing Wang
    Hui Chen(Information Engmeering School
    International Journal of Minerals,Metallurgy and Materials, 1999, (02) : 149 - 151
  • [3] Identification of nonlinear dynamic systems using higher order diagonal recurrent neural network
    Cho, JS
    Kim, YW
    Park, DJ
    ELECTRONICS LETTERS, 1997, 33 (25) : 2133 - 2135
  • [4] IDENTIFICATION OF LINEAR AND NONLINEAR DYNAMIC-SYSTEMS USING RECURRENT NEURAL NETWORKS
    PHAM, DT
    LIU, X
    ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1993, 8 (01): : 67 - 75
  • [5] Identification of nonlinear systems using recurrent neural networks
    Ren, Xuemei
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2001, 18 (06):
  • [6] Nonlinear identification of dynamic systems using neural networks
    Huang, CC
    Loh, CH
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2001, 16 (01) : 28 - 41
  • [7] Identification of nonlinear dynamic systems using neural networks
    Yan, T
    Zhang, ZB
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 997 - 1000
  • [8] Identification of nonlinear dynamic systems using neural networks
    Masri, S.F., 1600, (60):
  • [9] Identification of nonlinear dynamical systems using recurrent neural networks
    Behera, L
    Kumar, S
    Das, SC
    IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4, 2003, : 1120 - 1124
  • [10] DIAGONAL RECURRENT NEURAL NETWORKS FOR DYNAMIC-SYSTEMS CONTROL
    KU, CC
    LEE, KY
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (01): : 144 - 156
12345