Internal model control using artificial neural networks for linear minimum phase systems

• Autorzy: Mahmoud Ines , Saidi Imen , Bejaoui Islem

Identyfikatory

DOI

10.15199/48.2022.02.09

Warianty tytułu

PL

Sterowanie modelem wewnętrznym za pomocą sztucznych sieci neuronowych dla liniowych systemów o minimalnej fazie

• Języki publikacji: EN

Abstrakty

EN

In this paper, we are interested in the internal model control using neural networks in the case of linear minimum phase systems. We propose, to use the neural internal model control to solve the inversion problem of a model M(z) in order to design the IMC controller. An example application is presented and the implementation of the proposed approach is discussed.

PL

W niniejszym artykule interesuje nas sterowanie modelem wewnętrznym za pomocą sieci neuronowych w przypadku liniowych układów o minimalnej fazie. Proponujemy wykorzystanie neuronowego sterowania modelem wewnętrznym do rozwiązania problemu inwersji modelu M(z) w celu zaprojektowania sterownika IMC. Przedstawiono przykładową aplikację oraz omówiono wdrożenie proponowanego podejścia.

Słowa kluczowe

EN

internal model control; artificial neural network; linear minimum phase system; stability

PL

sterowanie modelem wewnętrznym; sztuczna sieć neuronowa; liniowy układ fazowy minimalny; stabilność

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 2
• Strony: 45--48
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Mahmoud Ines

• University of Tunis El Manar Tunis, Tunisia. Automatic Research Laboratory, LA.R. A, National Engineering School of Tunis

• https://orcid.org/0000-0001-6596-7050

autor

Saidi Imen

• University of Tunis El Manar Tunis, Tunisia. Automatic Research Laboratory, LA.R. A, National Engineering School of Tunis

• https://orcid.org/0000-0001-7366-3022

autor

Bejaoui Islem

• University of Tunis El Manar Tunis, Tunisia. Automatic Research Laboratory, LA.R. A, National Engineering School of Tunis

• https://orcid.org/0000-0003-2959-7181

Bibliografia

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