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Robust identification of non-linear greenhouse model using evolutionary algorithms

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Robust identification of non-linear greenhouse model using evolutionary algorithms

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Herrero Durá, JM.; Blasco, X.; Martínez Iranzo, MA.; Ramos Fernández, C.; Sanchís Saez, J. (2008). Robust identification of non-linear greenhouse model using evolutionary algorithms. Control Engineering Practice. 16(5):515-530. https://doi.org/10.1016/j.conengprac.2007.06.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/126279

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Title: Robust identification of non-linear greenhouse model using evolutionary algorithms
Author: Herrero Durá, Juan Manuel Blasco, Xavier Martínez Iranzo, Miguel Andrés Ramos Fernández, César Sanchís Saez, Javier
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] This paper presents the non-linear modelling, based oil first principle equations, for a climatic model of a greenhouse and the estimation of the feasible parameter set (FPS) when the identification error is bounded ...[+]
Subjects: Robust identification , Multimodal optimization , Multiobjective optimization , Evolutionary algorithms , Greenhouse modelling
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Control Engineering Practice. (issn: 0967-0661 )
DOI: 10.1016/j.conengprac.2007.06.001
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.conengprac.2007.06.001
Project ID:
MEC/DPI2005-07835
MEC/DPI2004-08383-C03-02
Thanks:
Partially supported by MEC (Spanish government) and FEDER funds: projects DPI2005-07835 and DPI2004- 8383-C03-02.
Type: Artículo

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