DocumentCode
2020990
Title
Algorithms for robust identification in H∞ with nonuniformly spaced frequency response data
Author
Akcay, Huseyin
Author_Institution
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW
Volume
1
fYear
1997
fDate
10-12 Dec 1997
Firstpage
151
Abstract
In this paper, first a two-stage robustly convergent identification algorithm in H∞, for nonuniformly spaced data is proposed. The worst-case error of the algorithm converges to zero faster than polynomial rates in the noise-free case when the identified system is an exponentially stable discrete-time system. The algorithm is characterized by a rational interpolation step with fixed poles at 0 and infinity. Next, a minimax algorithm with better convergence properties is introduced
Keywords
asymptotic stability; convergence of numerical methods; discrete time systems; frequency response; identification; interpolation; convergence properties; exponentially stable discrete-time system; minimax algorithm; nonuniformly spaced frequency response data; rational interpolation; robust identification; two-stage robustly convergent identification algorithm; worst-case error; Convergence; Frequency measurement; Frequency response; Interpolation; Iterative algorithms; Noise measurement; Noise robustness; Particle measurements; Polynomials; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.650606
Filename
650606
Link To Document