System reduction using modified inverse distance measure and modified Cauer continued fraction method

Abstract

Abstract A useful technique for obtaining the stable approximated model is proposed by combining modified inverse distance measure and modified Cauer continued fraction method. Modified inverse distance measure is based on pole clustering technique used to get the suitable dominant poles of the approximated model and modified Cauer continued fraction method has the advantages of approximation at the steady state as well as initial transient situations. Effectiveness of the proposed method is validated through considering numerical cases. The suggested method is computer oriented and simple in calculation.