Course Contents
Physics-based modeling, modeling of distributed parameter systems, model simplification, linearization, model reduction, numerical integration methods, static and dynamic optimization, parameter optimization, data-driven modeling, machine learning supported modeling.
Literature
[list]
[*]P.E. Wellstead. Introduction to Physical Systems Modeling. Academic Press.
[*]L. Grüne, O. Junge. Gewöhnliche Differentialgleichungen. Springer Spektrum.
[*]G.F. Franklin, J.D. Powell and A. Emnami-Naeini. Feedback Control of Dynamical Systems, Addison-Wesley.
[*]C.a. Athanasios. Interpolation Methods for Model Reduction. SIAM.
[/list]
Preconditions
Basic concepts of control theory. Fundamentals of linear algebra.
Physics-based modeling, modeling of distributed parameter systems, model simplification, linearization, model reduction, numerical integration methods, static and dynamic optimization, parameter optimization, data-driven modeling, machine learning supported modeling.
Literature
[list]
[*]P.E. Wellstead. Introduction to Physical Systems Modeling. Academic Press.
[*]L. Grüne, O. Junge. Gewöhnliche Differentialgleichungen. Springer Spektrum.
[*]G.F. Franklin, J.D. Powell and A. Emnami-Naeini. Feedback Control of Dynamical Systems, Addison-Wesley.
[*]C.a. Athanasios. Interpolation Methods for Model Reduction. SIAM.
[/list]
Preconditions
Basic concepts of control theory. Fundamentals of linear algebra.
- Lehrende: Rolf Findeisen
- Lehrende: Eric Lenz
Semester: WT 2023/24