Introduction to system modeling for control. Generic modeling approaches based on first principles, Lagrangian formalism, energy approaches and experimental data. Model parametrization and parameter estimation. Basic analysis of linear and nonlinear systems.
Learning objective
Learn how to mathematically describe a physical system or a process in the form of a model usable for analysis and control purposes.
Content
This class introduces generic system-modeling approaches for control-oriented models based on first principles and experimental data. The class will span numerous examples related to mechatronic, thermodynamic, chemistry, fluid dynamic, energy, and process engineering systems. Model scaling, linearization, order reduction, and balancing. Parameter estimation with least-squares methods. Various case studies: loud-speaker, turbines, water-propelled rocket, geostationary satellites, etc. The exercises address practical examples.
Lecture notes
The handouts in English will be sold in the first lecture.
Literature
A list of references is included in the handouts.
Performance assessment
Performance assessment information (valid until the course unit is held again)