Jörg Raisch
Photo: SCIoI
Jörg Raisch’s research interests include both methodological and applied aspects of control. On the methodological side, he works on abstraction-based control synthesis for hybrid systems, control of timed discrete-event systems in tropical algebras, consistent control hierarchies, and distributed cooperative control. He has investigated control applications in chemical, medical and power systems engineering, with an emphasis on power systems with a high share of renewable energy. At SCIoI, he has worked on collective learning control in multi-robot systems, the trade-off between modularity and integration, and the use of regularities in complex control and decision problems.
Projects
Jörg Raisch is member of:
• Project 11: Dynamical Collective Adaptation and Learning
• Project 13: Architectural design principles for intelligence: Modularity vs Integrity
• Project 23: Control models of perceptual stability
• Project 43: Generating robust and general real-world behavior by exploiting regularities at multiple levels of abstraction
• Project 13: Architectural design principles for intelligence: Modularity vs Integrity
• Project 23: Control models of perceptual stability
• Project 43: Generating robust and general real-world behavior by exploiting regularities at multiple levels of abstraction
Publications +
2756394
Raisch
1
apa
50
date
desc
year
19990
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Zorzenon, D., Komenda, J., & Raisch, J. (2024). Switched max-plus linear-dual inequalities: cycle time analysis and applications. Discrete Event Dynamic Systems, 199–250. https://doi.org/10.1007/s10626-023-00389-5
Trunk, J., Cottenceau, B., Hardouin, L., & Raisch, J. (2024). Event-Variant and Time-Variant (max,+) Systems. IEEE Transactions on Automatic Control, 1045–1051. https://doi.org/10.1109/TAC.2023.3275955
Schafaschek, G., Hardouin, L., & Raisch, J. (2024). A tropical-algebraic method for the control of timed event graphs with partial synchronization. Discrete Event Dyn Sys, 34. https://doi.org/10.1007/s10626-024-00400-7
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2024). Boosting Fairness and Robustness in Over-the-Air Federated Learning. IEEE Control Systems Letters (LCSS), 8, 682–687. https://doi.org/10.1109/lcsys.2024.3402123
Zorzenon, D., Zaiets, N., & Raisch, J. (2023). Switched max-plus linear-dual inequalities for makespan minimization: the case study of an industrial bakery shop. IFAC-PapersOnLine 22nd IFAC World Congress, 8628–8634. https://doi.org/10.1016/j.ifacol.2023.10.038
Schweitzer, R., Doering, M., Seel, T., Raisch, J., & Rolfs, M. (2023). Saccadic omission revisited: What saccade-induced smear looks like [Preprint]. bioRxiv. https://doi.org/10.1101/2023.03.15.532538
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2023). Federated Learning in Wireless Networks via Over-the-Air Computations. 62nd IEEE Conference on Decision and Control (CDC), 4379–4386. https://doi.org/10.1109/CDC49753.2023.10384001
Lehmann, D., Drebinger, P., Seel, T., & Raisch, J. (2023). Data-Driven Dynamic Input Transfer for Learning Control in Multi-Agent Systems with Heterogeneous Unknown Dynamics. 62nd IEEE Conference on Decision and Control (CDC). https://doi.org/10.1109/CDC49753.2023.10383433
Grapentin, A., Sterle, A., Raisch, J., & Hans, C. A. (2023). LQ Optimal Control for Power Tracking Operation of Wind Turbines. IFAC-PapersOnLine 22nd IFAC World Congress, 2759–2766. https://doi.org/10.1016/j.ifacol.2023.10.1374
Sterle, A., Grapentin, A., Hans, C., & Raisch, J. (2023). Model Predictive Control of Wind Turbines with Piecewise-Affine Power Coefficient Approximation. 62nd IEEE Conference on Decision and Control (CDC), 3586–3591. https://doi.org/10.1109CDC49753.2023.10383567
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2023). Boosting Fairness and Robustness in Over-the-Air Federated Learning. 63rd IEEE Conference on Decision and Control (CDC).
Zorzenon, D., Komenda, J., & Raisch, J. (2022). The non-positive circuit weight problem in parametric graphs: A solution based on dioid theory. Discrete Applied Mathematics, 315, 56–70. https://doi.org/10.1016/j.dam.2022.03.008
Zorzenon, D., Schafaschek, G., Tirpák, D., Moradi, S., Hardouin, L., & Raisch, J. (2022). Implementation of procedures for optimal control of timed event graphs with resource sharing. IFAC-PapersOnLine 16th IFAC Workshop on Discrete Event Systems, 55(28), 220–227. https://doi.org/10.1016/j.ifacol.2022.10.346
Zorzenon, D., Balun, J., & Raisch, J. (2022). Weak Consistency of P-time Event Graphs. IFAC-PapersOnLine COSY 2022, 19–24. https://doi.org/10.1016/j.ifacol.2023.01.042
Zorzenon, D., Komenda, J., & Raisch, J. (2022). Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks. IFAC-PapersOnLine 16th IFAC Workshop on Discrete Event Systems, 55(28), 196–203. https://doi.org/10.1016/j.ifacol.2022.10.343
Schafaschek, G., Hardouin, L., & Raisch, J. (2022). A Novel Approach to the Modeling and Control of Timed Event Graphs with Partial Synchronization. IFAC-PapersOnLine 16th IFAC Workshop on Discrete Event Systems, 55(28), 204–211. https://doi.org/10.1016/j.ifacol.2022.10.344
Molinari, F., Agrawal, N., Stańczak, S., & Raisch, J. (2022). Over-The-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology. IEEE Transactions on Control of Network Systems, Early access. https://doi.org/10.1109/TCNS.2022.3212870
Meindl, M., Molinari, F., Raisch, J., & Seel, T. (2020). Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation. IFAC-PapersOnLine 21st IFAC World Congress, 53(2), 1480–1486. https://doi.org/10.1016/j.ifacol.2020.12.1938
PI Lecture -
Jörg Raisch (Science of Intelligence), “Efficient and Privacy-Preserving Consensus in Multi-Agent Systems”
For the Public -
Science of Intelligence Fair 2023
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DISCOVER – March 2026 - How Our Brains Predict Eye Movements — and Why Afterimages Don’t Always Line Up
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