Integral-equation-based continuous-time model identification of a magnetostrictive actuator

The problem of the continuous-time model identification of a magnetostrictive actuator is considered. An integral-equation-based least squares method is proposed. The identification is based on the sampled data of an input-output measurement with high frequency coloured noise. The main idea of the method is to transform a differential equation into an integral equation so that the effect of the high-frequency coloured noise can be ignored. The method is successfully applied to parameter identification in a continuous-time model of a magnetostrictive actuator.