Robust identification of non-linear greenhouse model using evolutionary algorithms

This paper presents the non-linear modelling, based on 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 simultaneously by several norms. The robust identification problem is transformed in...

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Veröffentlicht in:Control engineering practice Jg. 16; H. 5; S. 515 - 530
Hauptverfasser: Herrero, J.M., Blasco, X., Martínez, M., Ramos, C., Sanchis, J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.05.2008
Elsevier
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ISSN:0967-0661, 1873-6939
Online-Zugang:Volltext
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Zusammenfassung:This paper presents the non-linear modelling, based on 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 simultaneously by several norms. The robust identification problem is transformed into a multimodal optimization problem with an infinite number of global minima that constitute the FPS. For the optimization task, a special evolutionary algorithm ( ε -GA) is presented, which characterizes the FPS by means of a discrete set of models that are well distributed along the FPS. A procedure for determining the norm bounds, such that FPS ≠ ∅ , is presented.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2007.06.001