Bilevel Programming for Analysis of Reduced Models for Use in Model Predictive Control
نویسنده
چکیده
In this paper we use bilevel programming to find the maximum difference between a model predictive controller (MPC) using a full model and an MPC using a reduced model. The results apply to MPC with quadratic cost function and linear model with linear constraints.
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