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The paper presents the first steps towards a theory to build robust nonlinear predictive control based on fuzzy models. The main idea behind this theory is to write the predictive control problem as a robust optimization problem and apply semidefinite programming to solve the optimization in an efficient way. The information about the plant behavior and its uncertainties is provided by the fuzzy model.
Espinosa et al. (Mon,) studied this question.