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A new robust Receding Horizon Control (RHC) design approach for the sampled-data systems is proposed. The approach is based on a dividing genetic computation of minimax optimization for a robust finite receding horizon control problem. Numerical example is given to show the effectiveness of the proposed method. In last few decades, the Receding Horizon Control (RHC) has been widely accepted in the industries. RHC is an online powerful control method which solves a control problem with respect to each sampling frequency. A significant merit of RHC is easy handling of constraints during the design and implementation of the controller.
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