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SVM Based Internal Model Control for Nonlinear Systems

  • Weimin Zhong
  • Daoying Pi
  • Youxian Sun
  • Chi Xu
  • Sizhen Chu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

In this paper, a design procedure of support vector machine (SVM) with RBF kernel function based internal model control (IMC) strategy for stable nonlinear systems with input-output form is proposed. The control scheme consists of two controllers: a SVM based controller which fulfils the direct inverse model control and a traditional controller which fulfils the close-loop control. And so the scheme can deal with the errors between the process and the SVM based internal model generated by model mismatch and additional disturbance. Simulations are given to illustrate the proposed design procedure and the properties of the SVM based internal model control scheme for unknown nonlinear systems with time delay.

Keywords

Support Vector Machine Internal Model Control Model Mismatch Additional Disturbance Propose Design Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Weimin Zhong
    • 1
    • 2
  • Daoying Pi
    • 1
  • Youxian Sun
    • 1
  • Chi Xu
    • 3
  • Sizhen Chu
    • 3
  1. 1.National Laboratory of Industrial Control Technology, Institute of Modern Control EngineeringZhejiang UniversityHangzhouP.R. China
  2. 2.Automation Institute of East ChinaUniversity of Science and TechnologyShanghaiP.R. China
  3. 3.Hangzhou Automation Technology InstituteHangzhouP.R. China

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