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Fuzzy supervisory predictive control based on genetic algorithm optimization is proposed. For the nonlinear model, through a general objective function dynamically optimized to determine the optimal set-point for a given regulatory level, by using genetic algorithm in order to solve the nonlinear optimization problem for the setpoint, and compared with the supervisory predictive control based on linear...
The predictive control based on genetic algorithm is applied to the electrode regulator systems of industrial arc furnace, and the detailed design procedure of the dynamic matrix controller is presented. The predictive control model of the industrial arc furnace is designed. The optimal control law of the electrode regulator systems of arc furnace is obtained by rolling optimization. The feedback...
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