Dispersion compensating fibre fibre Bragg gratings
Dispersion compensating fibre fibre Bragg gratings
The subject of this paper is modeling of the influence of non-minimum phase plant dynamics on the performance possible from gradient based norm optimal iterative learning control algorithms. It is established that performance in the presence of right-half plane plant zeros typically has two phases. These consist of an initial fast monotonic reduction of the L 2 error norm followed by a very slow asymptotic convergence. Although the norm of the tracking error does eventually converge to zero, the practical implications over finite trials is apparent convergence to a non-zero error. The source of this slow convergence is identified and a model of this behavior as a (set of) linear constraint(s) is developed. This is shown to provide a good prediction of the magnitude of error norm where slow convergence begins. Formulae for this norm are obtained for single-input single-output systems with several right half plane zeroes using Lagrangian techniques and experimental results are given that confirm the practical validity of the analysis.
540-551
Ibsen, M.
22e58138-5ce9-4bed-87e1-735c91f8f3b9
Durkin, M. K.
c9917856-22d8-40b0-ad28-21c484ca30ed
Feced, R.
b62081fc-fcad-48e6-a957-0ec55f6efe7f
Cole, M. J.
7c2ec55d-a4b9-4709-8223-d0dd81b112ce
Zervas, M. N.
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Laming, R. I.
7a3db66b-2c54-43e3-bdd8-ab45c9195cd4
31 July 2001
Ibsen, M.
22e58138-5ce9-4bed-87e1-735c91f8f3b9
Durkin, M. K.
c9917856-22d8-40b0-ad28-21c484ca30ed
Feced, R.
b62081fc-fcad-48e6-a957-0ec55f6efe7f
Cole, M. J.
7c2ec55d-a4b9-4709-8223-d0dd81b112ce
Zervas, M. N.
1840a474-dd50-4a55-ab74-6f086aa3f701
Laming, R. I.
7a3db66b-2c54-43e3-bdd8-ab45c9195cd4
Ibsen, M., Durkin, M. K., Feced, R., Cole, M. J., Zervas, M. N. and Laming, R. I.
(2001)
Dispersion compensating fibre fibre Bragg gratings.
In Proceedings of Conference on Active and Passive Optical Components for WDM Communication.
vol. 4532,
SPIE.
.
(doi:10.1117/12.492286).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The subject of this paper is modeling of the influence of non-minimum phase plant dynamics on the performance possible from gradient based norm optimal iterative learning control algorithms. It is established that performance in the presence of right-half plane plant zeros typically has two phases. These consist of an initial fast monotonic reduction of the L 2 error norm followed by a very slow asymptotic convergence. Although the norm of the tracking error does eventually converge to zero, the practical implications over finite trials is apparent convergence to a non-zero error. The source of this slow convergence is identified and a model of this behavior as a (set of) linear constraint(s) is developed. This is shown to provide a good prediction of the magnitude of error norm where slow convergence begins. Formulae for this norm are obtained for single-input single-output systems with several right half plane zeroes using Lagrangian techniques and experimental results are given that confirm the practical validity of the analysis.
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Published date: 31 July 2001
Venue - Dates:
ITCom 2001 International Symposium on the Convergence of IT and Communications, , Denver, United States, 2001-07-30
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Local EPrints ID: 472397
URI: http://eprints.soton.ac.uk/id/eprint/472397
ISSN: 0277-786X
PURE UUID: 01d5457b-cbf3-4592-a073-0d1646711819
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Date deposited: 05 Dec 2022 17:32
Last modified: 17 Mar 2024 02:37
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Contributors
Author:
M. Ibsen
Author:
M. K. Durkin
Author:
R. Feced
Author:
M. J. Cole
Author:
M. N. Zervas
Author:
R. I. Laming
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