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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Bibliographic Details
Published in:	Control engineering practice Vol. 16; no. 5; pp. 515 - 530
Main Authors:	Herrero, J.M., Blasco, X., Martínez, M., Ramos, C., Sanchis, J.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.05.2008 Elsevier
Subjects:	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 Access:	Get full text
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