IDENTIFICATION OF A HYDRAULIC SERVO-AXIS USING SUPPORT VECTOR MACHINES

Abstract In this paper, different models of the pressure buildup inside a hydraulic servo-axis 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.