Project Details
Projekt
Decomposition methods for mixed-integer optimal control (A05)
Subject Area
Mathematics
Term
since 2014
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 239904186
In this subproject we study domain decomposition approaches for optimal control problems using the example of gas transport networks. Our main goal is to couple the space-time-domain decomposition method from the second phase with machine learning and mixed-integer programming techniques. To this end, we develop an interlinked data-driven and physics informed algorithm called NeTI (Network Tearing and Interconnection) that combines mixed-integer nonlinear programming, learning of surrogate models, and graph decomposition strategies.
DFG Programme
CRC/Transregios
Subproject of
TRR 154:
Mathematical modelling, simulation and optimization using the example of gas networks
Applicant Institution
Friedrich-Alexander-Universität Erlangen-Nürnberg
Project Heads
Professor Dr. Günter Leugering, until 6/2022; Professor Dr. Alexander Martin; Professor Dr. Sebastian Pokutta; Professor Dr. Martin Schmidt, until 6/2022
