Nonlinear predictive control using fuzzy models and semidefinite programming

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.