Control of Chaotic Dynamical Systems using RBF Networks

被引:0
作者
Ishikawa, Yoichi [1 ]
Masukake, Yuichi [1 ]
Ishida, Yoshihisa [1 ]
机构
[1] Meiji Univ, Dept Elect & Commun, Kawasaki, Kanagawa 2148571, Japan
来源
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 19 | 2007年 / 19卷
关键词
Chaos; nonlinear plant; radial basis function network;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a novel control method based on radial basis function networks (RBFNs) for chaotic dynamical systems. The proposed method first identifies the nonlinear part of the chaotic system off-line and then constructs a model-following controller using only the estimated system parameters. Simulation results show the effectiveness of the proposed control scheme.
引用
收藏
页码:175 / 178
页数:4
相关论文
共 8 条
  • [1] [Anonymous], 1996, MATRIX COMPUTATION
  • [2] [Anonymous], 1986, PARALLEL DISTRIBUTED
  • [3] Franklin G. F., 1997, DIGITAL CONTROL DYNA
  • [4] HAYKIN S, 1994, NEURAL NETWORKY COMP
  • [5] Control of chaotic dynamical systems using radial basis function network approximators
    Kim, KB
    Park, JB
    Choi, YH
    Chen, GR
    [J]. INFORMATION SCIENCES, 2000, 130 (1-4) : 165 - 183
  • [6] Narendra K S, 1990, IEEE Trans Neural Netw, V1, P4, DOI 10.1109/72.80202
  • [7] Applications of radial basis network technology to process control
    Sbarbaro, D
    Segovia, JP
    Alcozer, S
    Gonzales, J
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2000, 8 (01) : 14 - 22
  • [8] Wasserman P., 1993, ADV METHODS NEURAL N, P147