Robust identification of non-linear greenhouse model using evolutionary algorithms

Abstract 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 ( e -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.

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