A Computationally Efficient Formulation of Robust Model Predictive Control using Linear Matrix Inequalities
نویسندگان
چکیده
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an explicit control law using Linear Matrix Inequalities (LMIs). This off-line approach can address a broad class of model uncertainty descriptions with guaranteed robust stability of the closed-loop system and substantial reduction of the on-line MPC computation.
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