Abstract
In this paper, we have proposed a new method for identifying specified parameters in linear systems. The method is based on Youla-parametrization which is derived by pulling out the deviations of specified parameters to the references. The resultant parametrization takes a from of linear fractional transformation (LFT) and has an 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 parametrization means introducing a filter for suppressing the effect of observation noises. Two examples are given for illustrating the effectiveness and for showing the possibility of applying the method to fault diagnosis.
