吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 199-203.

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Application of system identification for rehabilitation equipment-driven based on GS-SVM

LIU Tong1,2, LI Hai-fu2, REN Li-ye2, ZANG Mu-jun3   

  1. 1. College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;
    2. School of Electronic Engineering, Changchun University, Changchun 130022, China;
    3. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2012-06-03 Published:2013-06-01

Abstract:

According to the characteristics of controlled model,the support vector machine system identification model was analyzed,and the lower limb rehabilitation model was studied by using the Matlab simulation modeling and the grid search algorithm was selected to train parameter to optimize the system,the simulation results show that the proposed method has advantage of accuracy and relevance.

Key words: rehabilitation equipment, support vector machine, grid search, system identification

CLC Number: 

  • TP181

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