Constrained min-max predictive control: a polynomial-time approach

T. Alamo, D. Munoz de la Pena, D. Limon, E.F. Camacho
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)  
In this work, an efficient way of implementing a constrained min-max predictive controller is presented. The new approach modifies the objective function in such a way that the resulting min-max problem can be solved in polynomial time. Different modifications are proposed. The main contribution of the paper is to provide a robust constrained min-max predictive controller that can be implemented in real time. The new controller stabilizes the uncertain system.
doi:10.1109/cdc.2003.1272683 fatcat:sxjb3yyi4jdh5fu2azxr7j4zki