Identification of RC networks by deconvolution: chances and limits

Abstract

This paper deals with the identification of RC networks from their time- or frequency-domain responses. A new method is presented based on a recent approach of the network description where all response functions are calculated by convolution integrals. The identification is carried out by deconvolution (NID method). This paper discusses the practical details of the method. Special attention is paid to the identification and modeling of distributed RC networks, like the problems of conductive heat-flow. A number of examples make it easy to understand the operation and the capabilities of the NID method. Comparative considerations are given concerning the accuracy and expenses of the NID and the popular AWE (momentum-matching) methods.