Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, C. Schütte, Physica D: Nonlinear Phenomena 406 (2020).

Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator
S. Peitz, S. Klus, in: Lecture Notes in Control and Information Sciences, Springer, Cham, 2020, pp. 257–282.

Deep model predictive flow control with limited sensor data and online learning
K. Bieker, S. Peitz, S.L. Brunton, J.N. Kutz, M. Dellnitz, Theoretical and Computational Fluid Dynamics 34 (2020) 577–591.

Gathering Anonymous, Oblivious Robots on a Grid
J. Castenow, M. Fischer, J. Harbig, D. Jung, F. Meyer auf der Heide, Theoretical Computer Science 815 (2020) 289–309.

Transformation of Actors’ Roles in Service Systems: A Multi-Level Analysis 
V. Wolf, C. Bartelheimer, in: 16th International Research Conference in Service Management, 2020.

Numerische Untersuchungen des Stofftransports in Flüssig-Flüssig-Systemen unter Berücksichtigung der Marangonikonvektion
C. Wecker, A. Hoppe, A. Schulz, J. Heine, H.-J. Bart, E. Kenig, in: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, Erfurt, 2020.

Ein PLIC-basierter Ansatz zur Erfassung des Stoffübergangs an bewegten Phasengrenzflächen
A. Schulz, C. Wecker, E. Kenig, in: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, Erfurt, 2020.

Data-Driven Model Predictive Control using Interpolated Koopman  Generators
S. Peitz, S.E. Otto, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 19 (2020) 2162–2193.

Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse
B. Hoyer, N. Stroh-Maraun, Games and Economic Behavior 121 (2020) 453–481.

Convex Hull Formation for Programmable Matter
J.J. Daymude, R. Gmyr, K. Hinnenthal, I. Kostitsyna, C. Scheideler, A.W. Richa, in: Proceedings of the 21st International Conference on Distributed Computing and Networking, 2020.

Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold
T. Hansmeier, P. Kaufmann, M. Platzner, in: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2020, pp. 125–126.

Integrating Haptic Signals with X-based Safety Systems for Vulnerable Road Users
M.-C.H. Oczko, L. Stratmann, M. Franke, J. Heinovski, D.S. Buse, F. Klingler, F. Dressler, in: 2020 International Conference on Computing, Networking and Communications (ICNC), 2020.

Cloud-Native Threat Detection and Containment for Smart Manufacturing
M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft) Demo Track, IEEE, Ghent, Belgium, 2020.

Approximating Weighted Completion Time for Order Scheduling with Setup Times
S. Pukrop, A. Mäcker, F. Meyer auf der Heide, in: Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), 2020.

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J. Schumacher, S. Rezat, in: G. Kadunz (Ed.), Zeichen und Sprache im Mathematikunterricht, Springer, 2020.

Visual Analysis of Argumentation in Essays
D. Kiesel, P. Riehmann, H. Wachsmuth, B. Stein, B. Fröhlich, IEEE Transactions of Visualization &; Computer Graphics 27 (n.d.) 1139–1148.

Criteria as a prelude for guiding taxonomy evaluation
D. Szopinski, T. Schoormann, D. Kundisch, in: Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), 2020.

Network formation with NIMBY constraints
L. Block, Network Formation with NIMBY Constraints, 2020.

Time efficient laser modification of steel surfaces for advanced bonding in hybrid materials
D. Voswinkel, D. Kloidt, O. Grydin, M. Schaper, Production Engineering (2020) 263–270.

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