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Raport Badawczy = Research Report ; RB/86/2009
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
543-554 stron ; 21 cm ; Bibliografia s. 553-554
This paper is concerned with the construction of reduced–order models for high–order linear systems in such a way that the L2 norm of the impulse–response error is minimized. Two convergent algorithms that draw on previous procedures presented by the same authors, are suggested: one refers to s–domain representations, the other to time–domain state–space representations. The algorithms are based on an iterative scheme that, at any step, satisfies certain interpolation constraints deriving from the optimality conditions. To make the algorithms suitable to the reduction of very large–scale systems, resort is made to Krylov subspaces and Arnoldi’s method. The performance of the reduction algorithms is tested on two benchmark examples.
Raport Badawczy = Research Report
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 19, 2021
Oct 19, 2021
60
https://rcin.org.pl./publication/255060
Edition name | Date |
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RB-2009-86 : Krajewski Wiesław Henryk, Viaro Umberto : Iterative-interpolation algorithms for L2 model reduction | Oct 19, 2021 |
Krajewski, Wiesław Viaro, Umberto
Krajewski, Wiesław Viaro, Umberto
Krajewski, Wiesław Viaro, Umberto
Krajewski, Wiesław Viaro, Umberto
Casagrande, Daniele Krajewski, Wiesław Viaro, Umberto
Casagrande, Daniele Krajewski, Wiesław Viaro, Umberto