Improved results on frequency weighted optimal Hankel norm model reduction

Abstract

In this paper a new frequency weighted optimal Hankel norm model reduction algorithm is proposed which is based on a combination of Wang et al's technique [14] and Varga and Anderson's technique [13]. The proposed algorithm results stable reduced order models with both single sided and double sided weightings. A numerical example is considered to validate the proposed algorithm and the comparison with other well known techniques shows the effectiveness of the proposed algorithm.