Title :
Identification in hH∞ via convex programming
Author :
Xiong, Dapeng ; Gu, Guoxiang ; Zhou, Kemin
Author_Institution :
Department of Electrical and Computer Engineering, Louisiana State University
Abstract :
Convex programming technique is employed to solve the problem of system identification in H∞ which was first formulated in [6]. A unique feature of this proposed identification algorithm is that it has a performance close to that of Nevanlinna Pick interpolation based algorithm as studied in [1,5] which is strongly optimal within a factor of two. An explicit bound is also derived for the worst case identification error measured in H∞ norm.
Keywords :
Algorithm design and analysis; Constraint optimization; Frequency response; Gold; Interpolation; Noise level; Performance analysis; Stability; Surface-mount technology; Virtual private networks;
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3
