Carl Julius Martensen
Julius is currently pursuing his PhD at the Otto-von-Guericke University Magdeburg.
As a mechanical engineer with a keen interest in system identification and control, he is researching how to transform data and data-driven black-box models in readable equations.
Session
08-12
14:30
15min
An Offer you can't refuse: Corleone.jl - Flexible direct multiple shooting for optimal control and experimental design in Julia
Carl Julius Martensen
We introduce Corleone.jl, a package for solving optimization problems related to dynamic processes. It aims at leveraging the full SciML ecosystem to model, integrate, and solve the resulting nonlinear optimization problem. We showcase Corleone's integration inside scientific machine learning, how it can be used via ModelingToolkit, and recent results from academic and industrial use cases.
Methods and Applications of Scientific Machine Learning (SciML)
Room 6