Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
The applicability of approximate NARX models of non-linear dynamic systems is discussed. The models are obtained by a new version of Fourier analysis-based neural network also described in the paper. This constitutes a reformulation of a known method in a recursive manner, i.e. adapted to account for incoming data on-line. ; The method allows us to obtain an approximate model of the non-linear system. The estimation of the influence of the modelling error on the discrepancy between the model and real system outputs is given. Possible applications of this approach to the design of BIBO stable closed-loop control are proposed.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 12, number 2 (2002) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Nov 5, 2024
Sep 1, 2021
78
https://www.zbc.uz.zgora.pl/publication/65726
Edition name | Date |
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Neural network-based NARX models in non-linear adaptive control | Nov 5, 2024 |
Debbache, Ghania Bennia, Abdelhak Goléa, Noureddine Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Haber, Robert Bars, Ruth Lengyel, Orsolya Kowalczuk, Zdzisław - red.
Dzieliński, Andrzej Beliczyński, Bartłomiej - red.
Deng, Jiamei Becerra, Victor M. Stobart, Richard Korbicz, Józef (1951- ) - ed.
Janczak, Andrzej Korbicz, Józef (1951- ) - red. Patton, Ronald J. - red.
Pedro, Jimoh Olarewaju Dahunsi, Olurotimi Akintunde Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Patan, Krzysztof Patan, Maciej (1975- )
Tatjewski, Piotr Ławryńczuk, Maciej Korbicz, Józef (1951- ) - red.