Advertisement

Adaptive Inverse Control System Based on Least Squares Support Vector Machines

  • Xiaojing Liu
  • Jianqiang Yi
  • Dongbin Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

Adaptive inverse control (AIC) uses three adaptive filters: plant model, controller and disturbance canceller. A kind of hybrid AIC system based on Least Squares Support Vector Machines (LS-SVMs) is proposed in this paper. It has a PID controller to compensate the control signal error. A kind of adaptive disturbance canceller based on LS-SVM is also proposed. It can optimally eliminate plant disturbance. Simulation example is presented to demonstrate that the proposed method works very well.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Widrow, B., Walach, E.: Adaptive Inverse Control. Prentice-Hall, Englewood Cliffs (1996)Google Scholar
  2. 2.
    Plett, G.L.: Adaptive Inverse Control of Plants with Disturbances. PhD Thesis, Stanford University, Stanford (1998)Google Scholar
  3. 3.
    Plett, G.L.: Adaptive Inverse Control of Linear and Nonlinear Systems Using Dynamic Neural Networks. IEEE Transactions on Neural Networks 14, 360–369 (2003)CrossRefGoogle Scholar
  4. 4.
    Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)zbMATHGoogle Scholar
  5. 5.
    Vapnik, V.: Estimation of Dependences Based on Empirical Data. Springer, Berlin (1982)zbMATHGoogle Scholar
  6. 6.
    Suykens, J.A.K., Gestel, T.V., Brabanter, J.D., Moor, B.D., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)zbMATHCrossRefGoogle Scholar
  7. 7.
    Bilello, M.: Nonlinear Adaptive Inverse Control. PhD Thesis, Stanford University, Stanford, CA (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xiaojing Liu
    • 1
  • Jianqiang Yi
    • 1
  • Dongbin Zhao
    • 1
  1. 1.Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation Chinese Academy of SciencesBeijingChina

Personalised recommendations