Abstract
For optimizing the greenhouse climate with regard to energy consumption and yield, a strategy will be presented which has been developed on the basis of a plant-physiological model which has been approximated by simplified input-output models in form of time-discrete time-variant nonlinear models of Wiener- and Hammerstein-type, resp. The dynamic optimization has been performed by building augmented Lagrangians and determining the saddle point. First results of greenhouse experiments confirm the usefulness of the method proposed.
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