Hernández Castellanos, Carlos Ignacio, et al. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.”10.1002/rnc.5197__International Journal of Robust and Nonlinear Control, vol. 30(17), 2020, pp. 7593–618, doi:10.1002/rnc.5197.

Peitz, Sebastian, and Stefan Klus. “Koopman Operator-Based Model Reduction for Switched-System Control of PDEs.”10.1016/j.automatica.2019.05.016__Automatica, vol. 106, 2019, pp. 184–91, doi:10.1016/j.automatica.2019.05.016.

Gebken, Bennet, et al. “On the Hierarchical Structure of Pareto Critical Sets.”10.1007/s10898-019-00737-6__Journal of Global Optimization, vol. 73, no. 4, 2019, pp. 891–913, doi:10.1007/s10898-019-00737-6.

Hanke, Soren, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.”10.1109/precede.2019.8753313__2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, doi:10.1109/precede.2019.8753313.

Hanke, Sören, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, pp. 1–6.

Hanke, Sören, et al. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for  Electrical Drives.” ArXiv:1804.00854, 2018.

Kummert, Franz, et al. “Eingesetzte wissenschaftliche Methoden.” Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, edited by Ansgar Trächtler, Springer, 2018.

Gebken, Bennet, et al. “A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.”10.1007/978-3-319-96104-0_2__Numerical and Evolutionary Optimization – NEO 2017, 2018, doi:10.1007/978-3-319-96104-0_2.

Peitz, Sebastian, and Michael Dellnitz. “A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction.”10.3390/mca23020030__Mathematical and Computational Applications, vol. 23, no. 2, 2018, doi:10.3390/mca23020030.

Beermann, Dennis, et al. “Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition.”10.1007/978-3-319-75319-5_3__Reduced-Order Modeling (ROM) for Simulation and Optimization, 2018, pp. 47–72, doi:10.1007/978-3-319-75319-5_3.

Klus, Stefan, et al. “Tensor-Based Dynamic Mode Decomposition.”10.1088/1361-6544/aabc8f__Nonlinearity, vol. 31, no. 7, 2018, pp. 3359–80, doi:10.1088/1361-6544/aabc8f.

Beermann, Dennis, et al. “POD-Based Multiobjective Optimal Control of PDEs with Non-Smooth Objectives.”10.1002/pamm.201710015__PAMM, 2018, pp. 51–54, doi:10.1002/pamm.201710015.

Peitz, Sebastian. “Controlling Nonlinear PDEs Using Low-Dimensional Bilinear Approximations  Obtained from Data.” ArXiv:1801.06419, 2018.

Klus, Stefan, et al. “Analyzing High-Dimensional Time-Series Data Using Kernel Transfer  Operator Eigenfunctions.” ArXiv:1805.10118, 2018.

Hanke, Sören, et al. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives.” ArXiv Preprint ArXiv:1804.00854, 2018.

Peitz, Sebastian, et al. “Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.”10.1007/s10440-018-0209-7__Acta Applicandae Mathematicae, vol. 161, no. 1, 2018, pp. 171–199, doi:10.1007/s10440-018-0209-7.

Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.”10.1007/978-3-319-23413-7_87__Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, 2017, pp. 633–41, doi:10.1007/978-3-319-23413-7_87.

Peitz, Sebastian, and Michael Dellnitz. “Gradient-Based Multiobjective Optimization with Uncertainties.”10.1007/978-3-319-64063-1_7__NEO 2016, 2017, pp. 159–82, doi:10.1007/978-3-319-64063-1_7.

Peitz, Sebastian.   Exploiting Structure in Multiobjective Optimization and Optimal Control. 2017, doi:10.17619/UNIPB/1-176.

Peitz, Sebastian, et al. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.”10.1016/j.ifacol.2017.08.1526__Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), vol. 50, no. 1, 2017, pp. 8674–79, doi:10.1016/j.ifacol.2017.08.1526.