Shuffle algorithm for fractional descriptor Roesser type continuous-time linear systems

• Autorzy: Kaczorek Tadeusz , Sajewski Łukasz

Identyfikatory

DOI

10.24136/jaeee.2022.001

Warianty tytułu

PL

Algorytm przesuwania dla liniowych układów deskryptorowych niecałkowitego rzędu ciągłych typu Roessera

• Języki publikacji: EN

Abstrakty

EN

The shuffle algorithm is applied to analysis of the fractional descriptor Roesser type continuous-time linear systems. Using the shuffle algorithm the fractional descriptor linear system is reduced to the equivalent standard system and the system is decomposed into dynamic and static parts. Procedure for computation of the matrices of equivalent standard system and of the dynamical and static parts of the system is proposed.

PL

Algorytm przesuwania jest stosowany do analizy ułamkowych deskryptorowych układów liniowych ciągłych typu Roesser. Stosując algorytm przesuwania, liniowy układ deskryptorowy niecałkowitego rzędu jest redukowany do równoważnego układu standardowego, oraz jest rozkładany na część dynamiczną i statyczną. Zaproponowano procedurę obliczania macierzy równoważnego układu standardowego oraz metodę obliczania części dynamicznej i statycznej.

Słowa kluczowe

EN

fractional; descriptor; Roesser type; decomposition; dynamic parts; static parts

PL

niecałkowity rząd; deskryptor; dekompozycja; część statyczna; część dynamiczna

• Wydawca: Uniwersytet Technologiczno-Humanistyczny im. Kazimierza Pułaskiego w Radomiu
• Czasopismo: Journal of Automation, Electronics and Electrical Engineering
• Rocznik: 2022
• Tom: Vol. 4, No. 1
• Strony: 7--12
• Opis fizyczny: Bibliogr. 32 poz., rys., wykr.

Twórcy

autor

Kaczorek Tadeusz

• Bialystok University of Technology, Faculty of Electrical Engineering, Wiejska 45D, 15-351 Białystok, Poland

autor

Sajewski Łukasz

• Bialystok University of Technology, Faculty of Electrical Engineering, Wiejska 45D, 15-351 Białystok, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).