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Extension of a Fractional Model Identification Method for Fractional Dual-Pole Plus Dead-Time Models

  • Juan J. Gude*
  • , Gaizka Heppe
  • , Oscar Camacho
  • , Pablo García Bringas
  • *Autor correspondiente de este trabajo
  • Universidad de Deusto

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This work introduces a novel technique for identifying fractional dual-pole plus dead-time models (FDPPDT) based on data derived from the reaction curve of the process. The proposed method effectively captures the fractional behavior of high-order systems with S-shaped step responses using a reduced-order model. Building upon the methodology outlined in previous work, this approach offers a straightforward and practical solution that is easy to apply and implement at the industrial level due to its proven effectiveness. The simplicity and effectiveness of the proposed technique are demonstrated through simulation examples, highlighting its advantages over other established methods. To the best of our knowledge, this is the first analytical technique presented to identify an FDPPDT model using the proposed approach.

Idioma originalInglés
Título de la publicación alojadaMathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024
EditoresMartin Golubitsky, Stefano Boccaletti, Carla M.A. Pinto
EditorialSpringer
Páginas183-212
Número de páginas30
ISBN (versión impresa)9783031979491
DOI
EstadoPublicada - 2025
EventoInternational Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024 - Porto, Portugal
Duración: 20 jun. 202422 jun. 2024

Serie de la publicación

NombreSpringer Proceedings in Mathematics and Statistics
Volumen507 PROMS
ISSN (versión impresa)2194-1009
ISSN (versión digital)2194-1017

Conferencia

ConferenciaInternational Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024
País/TerritorioPortugal
CiudadPorto
Período20/06/2422/06/24

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