Robust identification of non-linear greenhouse model using evolutionary algorithms

[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 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 (epsilon-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 not equal 0, is (c) 2007 Elsevier Ltd. All rights reserved.Partially supported by MEC (Spanish government) and FEDER funds: projects DPI2005-07835 and DPI2004- 8383-C03-02.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.2007.06.00151553016