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)


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.


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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

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