Identification of a Hydraulic Servo-axis Using Support Vector Machines

نویسندگان

  • Jochen Schaab
  • Marco Muenchhof
  • Michael Vogt
  • Rolf Isermann
چکیده

In this paper, different models of the pressure buildup inside a hydraulic servoaxis are compared. These models are obtained using RBF networks, local linear models and support vector machines (SVMs), with a particular focus on the latter. For SVMs, a reduction method is derived, which allows to reduce the number of support vectors without losing the generalization abilities of the SVM. Experimental results obtained at a hydraulic servo-axis and a comparison of the different modelling techniques conclude this paper.

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تاریخ انتشار 2005