A Dynamic Neural Network Model for Nonlinear System Identification

被引：0
|
作者：
Wang, Chi-Hsu [1 ]
Chen, Pin-Cheng [2 ]
Lin, Ping-Zong [1 ]
Lee, Tsu-Tian [3 ]
机构：
[1] Natl Chiao Tung Univ, Dept Elect & Control Engn, Hsinchu, Taiwan
[2] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan
[3] Natl Taipei Univ Technol, Taipei, Taiwan
来源：
PROCEEDINGS OF THE 2009 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION | 2008年
关键词：
system identification; dynamic neural network; Hopfield neural network; Lyapunov criterion;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new dynamic neural network based on the Hopfield neural network is proposed to perform the nonlinear system identification. Convergent analysis is performed by the Lyapunov-like criterion to guarantee the error convergence during identification. Simulation results demonstrate that the proposed dynamic neural network trained by the Lyapunov approach can obtain good identifted performance.
引用
收藏
页码：440 / +
页数：2
相关论文
共 50 条
  • [1] Inverse model, identification of nonlinear dynamic system using neural network
    Mang, Ming-Guang
    [J]. PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 2451 - 2455
  • [2] Dynamic wavelet neural network for nonlinear dynamic system identification
    Tan, YH
    Dang, XJ
    Liang, F
    Su, CY
    [J]. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2000, : 214 - 219
  • [3] Nonlinear Dynamic System Identification Based on Wavelet Neural Network
    谭永红
    党选举
    [J]. 桂林电子科技大学学报, 1999, (01) : 2 - 7
  • [4] Nonlinear Dynamic System Identification Using Legendre Neural Network
    Patra, Jagdish C.
    Bornand, Cedric
    [J]. 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, 2010,
  • [5] Nonlinear system identification using optimized dynamic neural network
    Xie, W. F.
    Zhu, Y. Q.
    Zhao, Z. Y.
    Wong, Y. K.
    [J]. NEUROCOMPUTING, 2009, 72 (13-15) : 3277 - 3287
  • [6] Evolutionary diagonal recurrent neural network for nonlinear dynamic system identification
    Mu Yuqiang
    Sheng Andong
    Guo Zhi
    [J]. PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 2008, : 837 - +
  • [7] Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification
    Pratama, Mahardhika
    Er, Meng Joo
    Li, Xiang
    San, Lin
    Richard, J. O.
    Zhai, L. -Y.
    Torabi, Amin
    Arifin, Imam
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II, 2011, 6676 : 525 - +
  • [8] Dynamic fuzzy wavelet neural network model for structural system identification
    Adeli, H
    Jiang, XM
    [J]. JOURNAL OF STRUCTURAL ENGINEERING, 2006, 132 (01) : 102 - 111
  • [9] Nonlinear Model for Dynamic Synapse Neural Network
    Park, Hyung O.
    Dibazar, Alireza A.
    Berger, Theodore W.
    [J]. 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 5441 - 5444
  • [10] Nonlinear System Identification with Delayed Neural Network
    Zhang Jianhua
    Li Huiguang
    Wu Xueli
    Guan Xinping
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, : 717 - 720
12345