Title :
Algorithms for robust identification in H∞ with nonuniformly spaced frequency response data
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW
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;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.650606
