Adaptive fuzzy identification and predictive control for industrial processes
The learning of a TS fuzzy model is performed from input/output data by hierarchical GAs. An initialization method is applied on HGA. The learned TS fuzzy model is used on the GPC algorithm. The estimation of the flour concentration in the effluent of a real wastewater treatment. The proposed algorithm is applied on a real setup (two coupled DC motors).
fuzzy identification hierarchical genetic algorithm predictive fuzzy control fuzzy generalized predictive control