Model Based Predictive Control For Linear Interconnected Systems

The control of linear interconnected systems has become an area of significant research thanks to its various applications. This paper proposes the determination of a predictive control strategy for linear processes. The main idea is to formulate an approach for designing the model Based predictive control (MBPC) for large scale linear interconnected systems. This approach consists on associating a sub-MBPC for each sub-system. In fact, this works introduces a strategy to solve problems caused by the interactions among subsystems. The robustness and efficiency of the proposed approach are illustrated through numerical example.