3 papers
eess.SY2023
Learning a convex cost-to-go for single step model predictive control
E. M. Turan, Z. Mdoe, J. Jäschke
For large uncertain systems, solving model predictive control problems online can be computationally taxing. Using a shorter prediction horizon can help, but may lead to poor perfo…
math.DS2022
Mixed-Dimensional Geometric Coupling of Port-Hamiltonian Systems
Jens Jäschke, Nathanael Skrepek, Matthias Ehrhardt
We propose a new interconnection relation for infinite-dimensional port-Hamiltonian systems that enables the coupling of ports with different spatial dimensions by integrating over…
math.OC2020
GivEn -- Shape Optimization for Gas Turbines in Volatile Energy Networks
Jan Backhaus, Matthias Bolten, Onur Tanil Doganay +19
This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithm…