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Min-Max Model Predictive Control of a pilot plant

This paper shows the application of a Min-Max Model Predictive Control (MMMPC) strategy to a pilot plant in which the temperature of a reactor is controlled. An approximation of the worst case cost is used to obtain the control action. This approximation can be easily computed yielding a solution of the min-max problem very close to the exact one. The complexity of the algorithm allows the real time implementation for typical prediction and control horizons. The behavior of the system and the controller will be illustrated by means of experimental results.