• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 3
Jun.  2009
Turn off MathJax
Article Contents
LIU Luzhou, XIAO Jian, WANG Song. αth-Order Inverse Control Based on Online Least Square Support Vector Machines[J]. Journal of Southwest Jiaotong University, 2009, 22(3): 375-379.
Citation: LIU Luzhou, XIAO Jian, WANG Song. αth-Order Inverse Control Based on Online Least Square Support Vector Machines[J]. Journal of Southwest Jiaotong University, 2009, 22(3): 375-379.

αth-Order Inverse Control Based on Online Least Square Support Vector Machines

  • Received Date: 20 Nov 2008
  • Publish Date: 20 Jun 2009
  • An αth-order inverse control method based on online least square support vector machines (LS-SVM) algorithm was proposed. An insensitive function of control system error was introduced. The controller constructed off-line is retrained online with the incremental and decremental algorithm when the control error is beyond the insensitive function to enhance the robustness of the control system. Simulation results show that the online inverse controller can track the reference signal accurately when there is no noise,and it is more robust than off-line controller when the system is disturbed by noises.

     

  • loading
  • 戴先中.多变量非线性系统的神经网络逆控制方法[M].北京:科学出版社,2005:93-122.[2] VAPNIK V.The nature of statistical learning theory[M].New York:Springer-Verlag,1999:68-179.[3] SUYKENS J A K.Support vector machines:a nonlinear modeling and control perspective[J].European Journal of Control,2001,7(2-3):311-327.[4] SUYKENS J A K,VANDEWALLE J.E J,de MOOR B.Optimal control by least Square support machines[J].Neural Networks,2001,14(1):23-35.[5] MA J S,THEILER J,PERKINS S.Accurate on-line support vector regression[J].Neural Computation,2003,15(11):2683-2703.[6] WANG Hui,PI Daoying,SUN Youxian.Online SVM regression algorithm-based adaptive inverse control[J].Neurocomputing,2007,70(4-6):952-959.[7] TANG Hesheng,XUE Songtao,CHEN Rong,et al.Online weighted LS-SVM for hysteretic structural system identification[J].Engineering Structures,2006,28(12):1728-1735.[8] 肖建,于龙,白裔峰.支持向量回归中核函数和超参数选择方法综述[J].西南交通大学学报,2008,43(3):297-303.XIAO Jian,YU Long,BAI Yifeng.Survey of the selection of kernels and hyper-parameters in support vector regression[J].Journal of Southwest Jiaotong University,2008,43(3):297-303.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1673) PDF downloads(298) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return