Sergio García-Nieto

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Air management process in a turbocharged diesel engine is a multivariable, highly coupled nonlinear system with fast dynamics. Because of this, control algorithms with reasonably low computation times (enabling real time application) must be used. Furthermore, testing of new algorithms on a real engine is expensive. Therefore, a detailed non-linear engine(More)
An extension of the model predictive control philosophy to the field of fuzzy control design is discussed. The main goal is to bring together the best features from both techniques. The basic idea is to divide the initial optimization problem in a set of recursive optimization subproblems or decision stages. Each subproblem is raised as a fuzzy LQR design(More)
— The main idea in this paper is to combine fuzzy controllers design with model predictive philosophy. In fact, this paper is an improvement of a previous work [1], where basic idea was to divide the initial optimization problem in a set of recursive optimization subproblems or decision stages. Each subproblem is raised as a fuzzy LQR design where the goal(More)