Bisherige Veröffentlichungen:
- Anna Eingartner, Steffi Naumann, Philipp Schmitz, and Karl Worthmann. Adjustable robust energy operation planning under uncertain renewable energy production. Energies, 17(8):1917, 2024.
- Timm Faulwasser, Ruchuan Ou, Guanru Pan, Philipp Schmitz, and Karl Worthmann. Behavioral theory for stochastic systems? a data-driven journey from Willems to Wiener and back again. Annual Reviews in Control, 55:92–117, 2023.
- Lukas Lanza, Dario Dennstädt, Karl Worthmann, Philipp Schmitz, Gökçen Devlet Şen, Stephan Trenn, and Manuel Schaller. Sampled-data funnel control and its use for safe continual learning. Systems & Control Letters, 192:105892, 2024.
- Lukas Lanza, Timm Faulwasser, and Karl Worthmann. Distributed optimization for energy grids: A Tutorial on ADMM and ALADIN. In Alessandra Parisio, Johannes Schiffer, and Christian Hans, editors, Control and Optimisation of Microgrids. IET, to appear. arXiv preprint arXiv:2404.03946.
- Philipp Schmitz, Timm Faulwasser, Paolo Rapisarda, and Karl Worthmann. A continuous-time fundamental lemma and its application in data-driven optimal control. Systems & Control Letters, 194:105950, 2024.
- Philipp Schmitz, Lukas Lanza, and Karl Worthmann. Safe data-driven reference tracking with prescribed performance. In 27th IEEE International Conference on System Theory, Control and Computing (ICSTCC), pages 454–460, 2023.
- Philipp Schmitz, Manuel Schaller, Matthias Voigt, and Karl Worthmann. Fast and memory-efficient optimization for large-scale data-driven predictive control. IFAC PapersOnLine 58(21):220–225, 2024.
- Guo Yang, Manuel Schaller, Karl Worthmann, and Stefan Streif. Modularized data-driven approximation of the Koopman operator and generator. arXiv preprint arXiv:2402.08.