In order to approximate the behavior of hvsteresis nonlinearitv which often severely limits the performance of system and improve the prediction accuracy of classical Preisach model (CPM), a Least Squares Support Vector Machine (LS-SVM) based model is presented in this paper.According to the geometric characteristics of multi-loop hvsteresis, the input voltage sequences was combined with output stroke sequence and expand to a matrix as the input of LS-SVM.Then the multi-valued mapping of hvsteresis was transformed to one-to-one mapping which enable LS-SVM to approximate the behavior of hvsteresis.The prediction accuracy is improved effectively on the condition of finite samples and the default of CPM was avoided.Results of simulation and experiments show that the proposed hvsteresis model can exactly describe and predict the multi-valued hvsteresis feature compare with bilinear interpolafion and has the better generalization ability.
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