Title :
Worst-case asymptotic properties of linear algorithms for H∞ identification
Author :
Chen, Jie ; Gu, Guoxiang
Author_Institution :
Coll. of Eng., California Univ., Riverside, CA, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
This paper considers asymptotic properties for linear algorithms in H∞ identification. The divergence of linear algorithms is characterized for H∞ identification in both time and frequency domain. The sample complexity issue is also investigated. The results of this paper complement the existing results for linear algorithms in H∞ identification
Keywords :
H∞ optimisation; frequency-domain analysis; identification; time-domain analysis; H∞ identification; frequency-domain identification; linear algorithm divergence; time-domain identification; worst-case asymptotic properties; Algorithm design and analysis; Convergence; Ear; Frequency domain analysis; Frequency measurement; Robust control; System identification; Transfer functions;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.833400
