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
Schlagworte:	Applied sciences Computer science; control theory; systems Control theory. Systems Evolutionary algorithms Exact sciences and technology Greenhouse modelling Modelling and identification Multimodal optimization Multiobjective optimization Robust identification Evolutionary algorithms Multimodal optimization Multiobjective optimization Greenhouse modelling Robust identification Parameter estimation Evolutionary algorithm Bounded error Multiobjective programming Modeling Optimization Non linear model System identification Greenhouse
ISSN:	0967-0661, 1873-6939
Online-Zugang:	Volltext
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