Model order reduction using response-matching technique

A method for model order reduction is proposed using response-matching technique. The step and impulse inputs have been considered. All types of pole configurations in the original high-order and reduced low-order system are included in this paper like real, complex and repeated. The proposed method is comparable in quality with similar existing methods and is capable of generating a reduced-order model with a desired pole pattern. (c) 2005 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.