Design of nonlinear observer for nonlinear system based on RBF neural networks

被引:0
|
作者
College of Automation Engineering, NUAA, 29 Yudao Street, Nanjing 210016, China [1 ]
不详 [2 ]
机构
来源
Trans. Nanjing Univ. Aero. Astro. | 2006年 / 4卷 / 311-315期
关键词
8;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Lag synchronization based on nonlinear observer design for delay system
    Shu, YL
    Tan, BD
    2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS, 2004, : 1396 - 1400
  • [32] Observer design for a class of nonlinear system based on canonical form
    Yang Ying-juan
    Dong Ya-li
    Fan Jiao-jiao
    PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE, 2007, : 61 - 64
  • [33] Improved RBF Neural Network for Nonlinear Identification System
    Guo, Jian
    Gong, Jing
    Xu, Jinbang
    PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 137 - 140
  • [34] A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks
    Zhang, Long
    Li, Kang
    Bai, Er-Wei
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (11) : 2929 - 2933
  • [35] Nonlinear Time Series Forecasting with Dynamic RBF Neural Networks
    Zhang, Dongqing
    Ning, Xuanxi
    Liu, Xueni
    Han, Yubing
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 6988 - +
  • [36] APPROACHES TO MODEL AND CONTROL NONLINEAR SYSTEMS BY RBF NEURAL NETWORKS
    Yao, Xifan
    Lian, Zhaotong
    Ge, Dongyuan
    He, Yi
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (02): : 941 - 954
  • [37] ON DESIGN OF NONLINEAR ROBOTIC CONTROL-SYSTEM WITH NEURAL NETWORKS
    GU, YL
    CHAN, JWM
    1989 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-3: CONFERENCE PROCEEDINGS, 1989, : 200 - 205
  • [38] Generalized fuzzy RBF networks and nonlinear system identifications
    Bao, H
    Xie, Y
    Chen, XK
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 2508 - 2512
  • [39] Model reference adaptive control of electro-hydraulic servo system based on RBF neural network and nonlinear disturbance observer
    Zhong, Haifang
    Liu, Kailei
    Qiang, Hongbin
    Yang, Jing
    Kang, Shaopeng
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2025, 239 (03) : 535 - 549
  • [40] Predictive Control of Nonlinear System Based on MPSO-RBF Neural Network
    Zhang, Yan
    Zhang, Li
    Xing, Guolin
    Yang, Peng
    INFORMATION AND AUTOMATION, 2011, 86 : 567 - 573