Multivariable Parametric Modeling of a Greenhouse by Minimizing the Quadratic Error

Abstract

This paper concerns the identification of a greenhouse described in a multivariab le linear system with two inputs and two outputs (TITO). The method proposed is b ased on the least squares identification method, without b eing less efficient, presents an iterative calculation algorithm with a reduced computational cost. Moreover, its recursive character allows it to overcome, with a good initialization, slight variations of parameters, inevitab le in a real multivariab le process. A comparison with other method s recently proposed in the literature demonstrates the advantage of this method. Simulations ob tained will be exposed to showthe effectiveness and application of the method on multivariab le systems.