Generalized frequency weighted optimal Hankel norm model reduction

This paper presents a generalized frequency weighted optimal Hankel norm model reduction (GFWOHNMR) technique. The proposed algorithm is an extension of approach discussed in [9] and results stable reduced order models with both single sided and double sided weightings. A numerical example is considered to validate the proposed algorithm.