Performances of Model Reduction using Factor Division Algorithm and Eigen Spectrum Analysis

Abstract

The easy and simplicity of manipulation and the multiple applications provided by approximate reducedorder systems, in comparison with original high order systems, make the topic of model reduction a subject with big importance; it allows us to get models that approached in their behavior, by satisfactory way, the high order original systems. In this paper we study one of recent reduction methods, which combine the algorithm of factor division and eigen spectrum analysis, and we compare it in the time domain (Schur method), and in the frequency domain (Routh approximation approach), in order to determine its performances.