Abstract
It is called modeling or system identification to express a target system by the mathematical model, is important for model based technology and many researches have been presented. In this paper, we have proposed a new method for identifying only the specified physical parameters in linear systems. The method is based on Youla-parameterization, which is derived by pulling out the deviations of specified parameters to the references. The resultant parameterization takes a form of linear fractional transformation (LFT) and has arbitrariness on the stable factors of parametrizing. We can utilize the arbitrariness to enhance the accuracy of estimating specified parameters because the stable factorizing in the parameterization means introducing a filter for suppressing the effect of observation noises. In this paper we describe an experimental study of applying the method to fault diagnosis.
