Modelado experimental de dos sistemas de laboratorio multivariables

  1. Rivero-Contreras, Rogelio 1
  2. Zamarreño, Jesús M. 1
  3. Tadeo, Fernando 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Book:
XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)
  1. Carlos Balaguer Bernaldo de Quirós (coord.)
  2. José Manuel Andújar Márquez (coord.)
  3. Ramon Costa Castelló (coord.)
  4. Carlos Ocampo Martínez (coord.)
  5. Jesús Fernández Lozano (coord.)
  6. Matilde Santos Peñas (coord.)
  7. José Enrique Simó Ten (coord.)
  8. Montserrat Gil Martínez (coord.)
  9. Jose Luis Calvo Rolle (coord.)
  10. Raúl Marín Prades (coord.)
  11. Eduardo Rocón de Lima (coord.)
  12. Elisabet Estévez Estévez (coord.)
  13. Pedro Jesús Cabrera Santana (coord.)
  14. David Muñoz de la Peña Sequedo (coord.)
  15. José Luis Guzmán Sánchez (coord.)
  16. José Luis Pitarch Pérez (coord.)
  17. Oscar Reinoso García (coord.)
  18. Oscar Déniz Suárez (coord.)
  19. Emilio Jiménez Macías (coord.)
  20. Vanesa Loureiro Vázquez (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-841-8

Year of publication: 2022

Pages: 599-606

Congress: Jornadas de Automática (43. 2022. Logroño)

Type: Conference paper

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Abstract

The identification of discrete transfer function models of two multivariable laboratory systems is presented. This identification is conducted based on experimental data obtained by performing sequential, simultaneous, and rotated step input tests. The HIDEN toolbox is used, considering the output error and least squares methods. Once the models are obtained, validation is performed comparing the models obtained using the Akaike (AIC), final prediction error (FPE) and minimum Rissanen length (RMDL) indexes. This comparison indicates that the most accurate models are obtained from sequential inputs in both cases.

Data source: Dialnet