Publication Details

Publication Nr. 17
17Jochen Schaab, Marco Muenchhof, Michael Vogt, and Rolf Isermann: Identification of a Hydraulic Servo Axis Using Support Vector Machines. Proceedings of the 16th IFAC World Congress, International Federation of Automatic Control, 2005. Language: Englisch
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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