Using genetic algorithms to optimize the design parameters of generalized predictive controllers

Generalized predictive control algorithms are a powerful control design met hod widely applied to industrial processes. However, there is no easy way t o tune the design parameters, mainly prediction and control horizons, in or der to achieve optimal performance. In this work, a genetic algorithm is pr oposed whose aim is to find on line the optimal values for the tuning param eters.