Nonlinear system identification of a MIMO quadruple tanks system using NARX model

• Autorzy: Araújo Ícaro B. Q. , Cavalcante Gabriel B. , Lúcio Yan L. S. , Araújo Fábio M. U.

Identyfikatory

DOI

10.15199/48.2019.06.12

Warianty tytułu

PL

Nieliniowy system identyfikacji systemu MIMO przy wykorzystaniu modelu NARX

• Języki publikacji: EN

Abstrakty

EN

This paper has two main objectives. First, it gives an overview on the identification of MIMO nonlinear systems using NARX models. It covers the classical approach of the FROLS method, as well as the SEMP method. The second is to present some new useful results in model structure selection for NARX polynomial models applied to MIMO systems. It shows how to make a representation of MIMO systems from NARX polynomial models and the application of classical methods to identify these models. The study case used is a real didactic quadruple tank system manufactured by Quanser.

PL

Artykuł ma dwa cele. Po pierwsze przedstawia przegląd metod identyfikacji nieliniowych systemów MIMO przy użyciu modelu NARX. Przedstawiono klasyczną metodę FROLS a także metodę SEMP. Po drugie przedstawiono użyteczne wyniki selekcji struktury wielomianowego modelu NARX zastosowanego do systemów MIMO.

Słowa kluczowe

EN

nonlinear system identification; MIMO system; model structure selection; coupled tanks; quadruple tank

PL

nieliniowy system identyfikacji; system MIMO; model NARX

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 6
• Strony: 66--72
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Araújo Ícaro B. Q.

• Computer Institute, Federal University of Alagoas Av. Lourival de Melo Mota, Bloco 12, Tabuleiro do Martins 57072-970, Maceió, AL, Brazil
• Federal University of Rio Grande do Norte

autor

Cavalcante Gabriel B.

• Federal University of Santa Catarina

autor

Lúcio Yan L. S.

• Computer Institute, Federal University of Alagoas Av. Lourival de Melo Mota, Bloco 12, Tabuleiro do Martins 57072-970, Maceió, AL, Brazil

autor

Araújo Fábio M. U.

• Federal University of Rio Grande do Norte

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).