Study and development of an integrated system identification and control design approach for multi-variable nonlinear systems. KU Leuven
Today’s state-of-the art methods for system and control design are model based. The ever increasing demand for higher performance and efficiency pushes control design methodologies to handle more complex system dynamics, specifications, constraints, and conditions. Since these developments rely on the availability of accurate models, similar advancements in system identification are required. Till now, most actors in the fields of nonlinear ...