TY - GEN
T1 - System identification for robust control
AU - Zhan, Charles Q.
AU - Tsakalis, Konstantinos
PY - 2007
Y1 - 2007
N2 - This paper presents a robust-control-oriented system identification method aiming to minimize the normalized coprime factor uncertainty of the performance-weighted system. The nominal model and the normalized coprime factor uncertainty bound are estimated employing a filter bank approach, which approximately calculates the chordal distance between the identified model and the true system in the frequency range of interest. An iterative LMI optimization is formulated to identify the model coefficients. The optimal stability margin is also calculated and compared to the identified nominal uncertainty bound to decide if re-identification is necessary.
AB - This paper presents a robust-control-oriented system identification method aiming to minimize the normalized coprime factor uncertainty of the performance-weighted system. The nominal model and the normalized coprime factor uncertainty bound are estimated employing a filter bank approach, which approximately calculates the chordal distance between the identified model and the true system in the frequency range of interest. An iterative LMI optimization is formulated to identify the model coefficients. The optimal stability margin is also calculated and compared to the identified nominal uncertainty bound to decide if re-identification is necessary.
UR - http://www.scopus.com/inward/record.url?scp=46449123668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46449123668&partnerID=8YFLogxK
U2 - 10.1109/ACC.2007.4282483
DO - 10.1109/ACC.2007.4282483
M3 - Conference contribution
AN - SCOPUS:46449123668
SN - 1424409888
SN - 9781424409884
T3 - Proceedings of the American Control Conference
SP - 846
EP - 851
BT - Proceedings of the 2007 American Control Conference, ACC
T2 - 2007 American Control Conference, ACC
Y2 - 9 July 2007 through 13 July 2007
ER -