Title :
A survey of balancing methods for model reduction
Author :
Gugercin, S. ; Antoulas, A.C.
Author_Institution :
Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
Abstract :
Balancing is one of the most efficient and most commonly used methods for model reduction. In this note, we present a survey of several balancing related model reduction schemes. Also we introduce a multiplicative error bound and propose a new reduction method with an absolute error bound for positive real balancing. In addition, a frequency weighted balancing technique with guaranteed stability and a simple bound on the H∞ norm of the error system, is presented.
Keywords :
Asymptotic stability; Controllability; Frequency-domain analysis; Reduced order systems; Riccati equations; Stability analysis; Upper bound; Model reduction; balancing; large-scale systems;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9