Data-driven modelling and control of nonlinear vibrations: Making the best of the system identification and machine learning worlds KU Leuven
Modern computers allow for increasingly easy and efficient processing of large amounts of data. For these reasons, system identification and especially machine learning techniques are becoming increasingly popular in the field of mechanics. Therefore, in line with the current developments, this research will be strongly data-driven. Moreover, it is specificially focused on nonlinear systems, since industrial systems are becoming increasingly ...