Control Engineering

General objectives The course presents advanced synthesis methods for the robust stabilization of linear multivariable and nonlinear systems in the presence of model uncertainties. Specific objectives Knowledge and understanding: Students will learn control design methods that handle the presence of structured or unstructured uncertainties on the model of the controlled system. The presented robust stabilization techniques will be based on the use of linear matrix inequalities (LMI) or methods based on high-gain controllers. Apply knowledge and understanding: Students will be able to analyze robust stabilization problems for linear and nonlinear dynamical systems and to use advanced design techniques in the synthesis of control laws for their resolution. Critical and judgment skills: Students will be able to characterize structured and/or unstructured uncertainties of the considered system, and to analyze the complexity of control law implementations, of their performance and critical issues. Communication skills: The course enables students to present some advanced and robust methods of solution for the classical problem of stabilization through feedback of dynamic systems. Learning ability: The course aims to create autonomous learning attitudes for the analysis and solution of control problems for linear multi-variable and nonlinear systems subject to model uncertainties.