Blind nonlinear system identification based on LS-SVM

被引：0
|
作者：
Zhu, Yanfei [1 ]
Zhang, Yun
Tan, Hongzhou
Li, Zhonghua
机构：
[1] Guangdong Univ Tecnol, Coll Automat, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A novel blind nonlinear system identification algorithm based on Least-Square Support Vector Machines (LS-SVM) is investigated in this paper. By oversampling the system outputs, more information of the system characteristics can be observed to blindly identify nonlinear systems. The LS-SVM based mathematical approximation provides an adequate modeling of the unknown system given the distribution knowledge of the system inputs. Simulation results demonstrate the effectiveness of this approach.
引用
收藏
页码：658 / 661
页数：4
相关论文
共 50 条
  • [1] Online LS-SVM based nonlinear system identification
    Qian Zhang
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS, 2006, 13 : 1008 - 1011
  • [2] Robust Control Based on LS-SVM for Uncertain Nonlinear System
    Yang, Hong
    Luo, Fei
    Xu, YuGe
    [J]. 2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 438 - 441
  • [3] Sequential LS-SVM for structural system identification
    Tang, H. -S.
    Sato, T.
    [J]. PROCEEDINGS OF THE THIRD EUROPEAN WORKSHOP STRUCTURAL HEALTH MONITORING 2006, 2006, : 691 - +
  • [4] LS-SVM model based nonlinear predictive control for MCFC system
    Chen Yue-hua
    Guang-yi, Cao
    Zhu Xin-jian
    [J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2007, 8 (05): : 748 - 754
  • [5] LS-SVM model based nonlinear predictive control for MCFC system
    CHEN Yue-hua
    [J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2007, (05) : 748 - 754
  • [6] LS-SVM model based nonlinear predictive control for MCFC system
    Yue-hua Chen
    Guang-yi Cao
    Xin-jian Zhu
    [J]. Journal of Zhejiang University-SCIENCE A, 2007, 8 : 748 - 754
  • [7] Study on Hammerstein Models of Sparse Nonlinear Identification with LS-SVM
    Zhao, Huaqi
    Cao, Jun
    Liu, Yaqiu
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 2559 - 2563
  • [8] Nonlinear Chaotic States Prediction Based on LS-SVM
    Jiang, Qiang
    Wang, Menglin
    Zheng, Gao
    Wang, Wangang
    [J]. PROCEEDING OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES, 2009, : 432 - 435
  • [9] A Study on Speaker Identification Based on Weighted LS-SVM
    Ding, Hui
    Tang, Zhen-Min
    Wei, Li-Hua
    Li, Yan-Ping
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2009, 43 (06) : 328 - 335
  • [10] Identification Model of Aeroengine Based on Improved LS-SVM
    Cai, Kailong
    Yao, Wuwen
    Lv, Boping
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7368 - 7373
12345