Admissibility tests for multidimensional singular fractional continuous-time models

• Autorzy: Benyettou Kamel , Bouagada Djillali

Identyfikatory

DOI

10.24425/acs.2022.142851

• Języki publikacji: EN

Abstrakty

EN

In this paper we present and discuss a new class of singular fractional systems in a multidimensional state space described by the Roesser continuous-time models. The necessary and sufficient conditions for the asymptotic stability and admissibility by the use of linear matrix inequalities are established. All the obtained results are simulated by some numerical examples to show the applicability and accuracy of our approach.

Słowa kluczowe

EN

singular Roesser model; fractional systems; multidimensional systems; linear matrix inequalities; admissibility

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2022
• Tom: Vol. 32, No. 3
• Strony: 607--625
• Opis fizyczny: Bibliogr. 21 poz., rys., wzory

Twórcy

autor

Benyettou Kamel

• Department of Mathematics and Computer Science, ACSY Team-Laboratory of Pure and Applied Mathematics, Abdelhamid Ibn Badis University Mostaganem, P.O.Box 227/118 University of Mostaganem, 27000 Mostaganem, Algeria

autor

Bouagada Djillali

• Department of Mathematics and Computer Science, ACSY Team-Laboratory of Pure and Applied Mathematics, Abdelhamid Ibn Badis University Mostaganem, P.O.Box 227/118 University of Mostaganem, 27000 Mostaganem, Algeria

Bibliografia

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Uwagi

1. This paper presents research results of the ACSY-Team (Analysis and Control systems team) with Laboratory of Pure and Applied Mathematics (LMPA) and of the doctorial training on the Operational Research and Decision Support funded by the General Directorate for Scientific Research and Technological Development of Algeria (DGRSDT) and supported by University of Mostaganem Abdelhamid Ibn Badis (UMAB) and initiated by the concerted research project on Control and Systems theory (PRFU Project Code C00L03UN270120200003)

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)