Aggregation기법에 의한 시스템의 간소화 방법에 관한 연구

A Study on the System Reduction Method Using Aggregation Technique

In this paper a complexity reduction method in a linear system is studied. The poles to be retained are selected by the dominancy and the values of residues at respective poles. The reduced order model is obtained by the aggregation method, and the aggregation matrix is determined by the eigenvectors of a controllable canonical form. We consider the markov parameter and the time-moment at the same time, thereby getting rid of the steady-state errors. The input-output matrices are obtained using a chained aggregation matrix, and application of this method is illustrated by example.