Seminar “Application of the Koopman operator and machine-learning for data-driven modelling of dynamical systems”

Lecture “Towards data-driven control of particulate processes” by Prof. Palis and lecture on “The Application of Deep Learning for Data-Driven Control” by MSc. Maksakov in the framework of the seminar “Application of the Koopman operator and machine-learning for data-driven modelling of dynamical systems“. The seminar is within the framework of the project “Design of data-driven Hamiltonian models for complex mechatronic systems and their application in energy-based control” by Dr. Dmitry Gromov.

Within the framework of this seminar, Prof. Stefan Palis from the Technical University of Clausthal and M.Sc. Anton Maksakov from the Otto-von-Guericke University of Magdeburg will discuss the application of tailored machine-learning methods to the modelling and control of complex technical processes, with an application to the crystallization process. The seminar will contain a theoretical and a practical part, during which the participants will see an example of the practical application of the developed methods on real data.

House of Knowledge, Jelgavas 3, Riga, Latvia