Bittracher, A., Koltai, P., Klus, S., Banisch, R., Dellnitz, M., &; Schütte, C. (2018). Transition Manifolds of Complex Metastable Systems. Journal of Nonlinear Science, 28, 471–512.https://doi.org/10.1007/s00332-017-9415-0 
LibreCat: /record/16715
DOI: 10.1007/s00332-017-9415-0

Peitz, S. (2018). Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data. ArXiv:1801.06419.
LibreCat: /record/16292

Klus, S., Peitz, S., &; Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. ArXiv:1805.10118.
LibreCat: /record/16293

Peitz, S., Ober-Blöbaum, S., &; Dellnitz, M. (2018). Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling. Acta Applicandae Mathematicae, 161(1), 171–199.https://doi.org/10.1007/s10440-018-0209-7 
LibreCat: /record/8753
DOI: 10.1007/s10440-018-0209-7

Nüske, F., Wu, H., Prinz, J.-H., Wehmeyer, C., Clementi, C., &; Noé, F. (2017). Markov state models from short non-equilibrium simulations—Analysis and correction of estimation bias. The Journal of Chemical Physics.https://doi.org/10.1063/1.4976518 
LibreCat: /record/21938
DOI: 10.1063/1.4976518

Wu, H., Nüske, F., Paul, F., Klus, S., Koltai, P., &; Noé, F. (2017). Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulations. The Journal of Chemical Physics.https://doi.org/10.1063/1.4979344 
LibreCat: /record/21939
DOI: 10.1063/1.4979344

Peitz, S., &; Dellnitz, M. (2017). Gradient-Based Multiobjective Optimization with Uncertainties. In NEO 2016 (pp. 159–182). Cham.https://doi.org/10.1007/978-3-319-64063-1_7 
LibreCat: /record/8752
DOI: 10.1007/978-3-319-64063-1_7

Dellnitz, M., &; Klus, S. (2017). Sensing and control in symmetric networks. Dynamical Systems, 61–79.https://doi.org/10.1080/14689367.2016.1215410 
LibreCat: /record/16540
DOI: 10.1080/14689367.2016.1215410

Dellnitz, M., Klus, S., &; Ziessler, A. (2017). A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty. SIAM Journal on Applied Dynamical Systems, 120–138.https://doi.org/10.1137/16m1072735 
LibreCat: /record/16581
DOI: 10.1137/16m1072735

Peitz, S., Schäfer, K., Ober-Blöbaum, S., Eckstein, J., Köhler, U., &; Dellnitz, M. (2017). A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL). IFAC-PapersOnLine, 8674–8679.https://doi.org/10.1016/j.ifacol.2017.08.1526 
LibreCat: /record/16657
DOI: 10.1016/j.ifacol.2017.08.1526

Peitz, S. (2017).   Exploiting structure in multiobjective optimization and optimal control.https://doi.org/10.17619/UNIPB/1-176 
LibreCat: /record/10594
DOI: 10.17619/UNIPB/1-176

Peitz, S., Schäfer, K., Ober-Blöbaum, S., Eckstein, J., Köhler, U., &; Dellnitz, M. (2017). A multiobjective MPC approach for autonomously driven electric vehicles. Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), 50(1), 8674–8679.https://doi.org/10.1016/j.ifacol.2017.08.1526 
LibreCat: /record/8756
DOI: 10.1016/j.ifacol.2017.08.1526

Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U.,https://doi.org/10.1007/978-3-319-23413-7_87__Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In Progress in Industrial Mathematics at ECMI (Vol. 22, pp. 633–641). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-319-23413-7_87 
LibreCat: /record/34
DOI: 10.1007/978-3-319-23413-7_87

Nüske, F., Schneider, R., Vitalini, F., &; Noé, F. (2016). Variational tensor approach for approximating the rare-event kinetics of macromolecular systems. The Journal of Chemical Physics.https://doi.org/10.1063/1.4940774 
LibreCat: /record/21937
DOI: 10.1063/1.4940774

Peitz, S., Gräler, M., Henke, C., Molo, M. H., Dellnitz, M., &; Trächtler, A. (2016). Multiobjective Model Predictive Control of an Industrial Laundry. In Procedia Technology (pp. 483–490).https://doi.org/10.1016/j.protcy.2016.08.061 
LibreCat: /record/8759
DOI: 10.1016/j.protcy.2016.08.061

Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U.,https://doi.org/10.1007/978-3-319-23413-7_87__Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In Mathematics in Industry. Cham.https://doi.org/10.1007/978-3-319-23413-7_87 
LibreCat: /record/16579
DOI: 10.1007/978-3-319-23413-7_87

Ziessler, A., Molo, M. H.-V., &; Dellnitz, M. (2016). On the computation of attractors for delay differential equations. Journal of Computational Dynamics, 5–5.https://doi.org/10.3934/jcd.2016005 
LibreCat: /record/16580
DOI: 10.3934/jcd.2016005

Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von Molo, M., Ober-Blöbaum, S., &; Dellnitz, M. (2016). A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26, 465–472.https://doi.org/10.1016/j.protcy.2016.08.059 
LibreCat: /record/8758
DOI: 10.1016/j.protcy.2016.08.059

Peitz, S., &; Dellnitz, M. (2015). Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM, 15(1), 613–614.https://doi.org/10.1002/pamm.201510296 
LibreCat: /record/1774
DOI: 10.1002/pamm.201510296

Peitz, S., &; Dellnitz, M. (2015). Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. In PAMM (pp. 613–614).https://doi.org/10.1002/pamm.201510296 
LibreCat: /record/8760
DOI: 10.1002/pamm.201510296