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The least squares support vector machines (LS-SVMs) are proposed for hysteresis system modeling in this investigation. The historical information of hysteresis system is used as a part of the input signals of the LS-SVMs so that the many-to-one mapping of hysteresis system is transformed into a one-to-one mapping. Utilizing the nonlinear approximation ability of LS-SVMs, a dynamic hysteresis model...
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