Feasibility and stability for constrained stable predictive control

Abstract
Predictive control strategies which handle input/output constraints optimize output tracking over a horizon, and thus tend to drive the controls to the constraint limits; this can lead to infeasibility and/or instability. Here we develop the necessary and sufficient conditions for feasibility and stability, and propose an algorithm which overcomes finite horizon infeasibility and gives stability and asymptotic tracking.

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