TY - JOUR
T1 - Accuracy enhancing methods for the frequency-weighted balancing related model reduction
AU - Varga, Andras
AU - Anderson, Brian D.O.
PY - 2001
Y1 - 2001
N2 - In this paper we develop computational techniques with enhanced accuracy for two frequency-weighted model reduction approaches, namely, balanced truncation, and singular perturbation approximation. New stability-enforcing choices of the frequency-weighted grammians can guarantee the stability of reduced models for two-sided frequency weights. Several numerical examples show the effectiveness of the new approximation techniques.
AB - In this paper we develop computational techniques with enhanced accuracy for two frequency-weighted model reduction approaches, namely, balanced truncation, and singular perturbation approximation. New stability-enforcing choices of the frequency-weighted grammians can guarantee the stability of reduced models for two-sided frequency weights. Several numerical examples show the effectiveness of the new approximation techniques.
UR - http://www.scopus.com/inward/record.url?scp=0035713871&partnerID=8YFLogxK
U2 - 10.1109/CDC.2001.980430
DO - 10.1109/CDC.2001.980430
M3 - Article
SN - 0743-1546
VL - 4
SP - 3659
EP - 3664
JO - Proceedings of the IEEE Conference on Decision and Control
JF - Proceedings of the IEEE Conference on Decision and Control
ER -