Achtung:

Sie haben Javascript deaktiviert!
Sie haben versucht eine Funktion zu nutzen, die nur mit Javascript möglich ist. Um sämtliche Funktionalitäten unserer Internetseite zu nutzen, aktivieren Sie bitte Javascript in Ihrem Browser.

Die Universität im Winter mit Blick auf den Turm vom J-Gebäude. Bildinformationen anzeigen

Die Universität im Winter mit Blick auf den Turm vom J-Gebäude.

Foto: Universität Paderborn, Adelheid Rutenburges

Dr. Sebastian Peitz

Kontakt
Profil
Vita
Publikationen
Dr. Sebastian Peitz

Lehrstuhl für Angewandte Mathematik

Mitglied - Akademischer Rat a. Z.

Institut für Industriemathematik

Geschäftsführer - Akademischer Rat a. Z.

Telefon:
+49 5251 60-5021
Fax:
+49 5251 60-4216
Büro:
TP21.1.25
Besucher:
Technologiepark 21
33098 Paderborn

1. Forschungsthemen
  • Mehrzieloptimierung und -optimalsteuerung,
    • Beschleunigung von Algorithmen durch das Ausnutzen von Strukturen
    • Echtzeit-Anwendbarkeit in Kombination Model Predictive Control
    • Lösen von PDE-restringierten Problemen mittels Modellreduktion
       
  • Modellreduktion für komplexe Systeme, insbesondere Partielle Differentialgleichungen, mittels
    • Proper Orthogonal Decomposition (POD)
    • Koopman Operator-Ansätzen
    • Maschineller Lernverfahren
       
  • Kontrolle komplexer dynamischer Systeme, insbesondere von Fluidströmungen
2. Forschungsprojekte
  • Titel: Multiobjective Optimization of Non-Smooth PDE-Constrained Problems - Switches, State Constraints and Model Order Reduction
    Beschreibung: Gemeinsames Projekt mit der Universität Konstanz (Prof. Dr. Stefan Volkwein), in dem wir Mehrzieloptimierungs- und Optimalsteuerungsprobelme mit nicht-glatten PDE-Nebenbedingungen lösen. Zur Erhöhung der numerischen Effizienz werden Modellreduktionsverfahren wie die Proper Orthogonal Decomposition (POD) eingesetzt, und wir entwickelnt Fehlerschranken, um konvergente Algorithmen zu konstruieren.
    Förderung: DFG Priority Programme 1962 "Non-Smooth and Complementarity-Based Distributed Parameter Systems: Simulation and Hierarchical Optimization"
     
  • Titel: Simultaneous Development and Testing of Cyber Physical Systems (CPS) using the example of autonomous electric vehicles (SET CPS)
    Beschreibung: Gemeinsames Projekt mit dSPACE und e.GO, in dem wir den Entwicklungs- und Testprozess von autonomen elektrischen Fahrzeugen mit Hilfe von Mehrzieloptimierungsalgorithmen miteinander kombinieren, um die Entwicklungszeit neuer Autos signifikant zu reduzieren (Weitere Informationen)
    Förderung: EFRE.NRW
01.10.2017 - heute

Geschäftsführer

Institut für Industriemathematik, Universität Paderborn (Leitung: Prof. Dr. Michael Dellnitz)

01.10.2013 - 30.09.2017

Wissenschaftlicher Mitarbeiter

Lehrstuhl für Angewandte Mathematik und Institut für Industriemathematik (Prof. Dr. Michael Dellnitz, Universität Paderborn)

08.08.2017

Promotion

Titel: "Exploiting Structure in Multiobjective Optimization and Optimal Control"

01.10.2007 - 18.07.2013

Studium

Maschinenbau (RWTH Aachen)
Abschluss: 18.07.2013 (M. Sc.)

16.06.2006

Abitur

Hans-Ehrenberg-Gymnasium (Sennestadt)

1. Dissertation

Exploiting Structure in Multiobjective Optimization and Optimal Control
Universität Paderborn, 2017 (UPB, PDF)

2. Zeitschriftenartikel

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

Bieker, K.; Peitz, S.; Brunton, S. L.; Kutz, J. N.; Dellnitz, M.:
Deep Model Predictive Control with Online Learning for Complex Physical Systems.
Submitted to Theoretical and Computational Fluid Dynamics (arXiv)

Peitz, S.; Klus, S.:
Koopman operator-based model reduction for switched-system control of PDEs.
Automatica 106, 184-191, 2019. (arXiv)

Gebken, B.; Peitz, S.; Dellnitz, M.:
On the hierarchical structure of Pareto critical sets.
Journal of Global Optimization 73(4), 891-913, 2019. (arXiv)

Schütze, O.; Cuate, O.; Martín, A.; Peitz, S.; Dellnitz, M.:
Pareto Explorer: a global/local exploration tool for many-objective optimization problems.
Engineering Optimization, 2019.

Gebken, B.; Peitz, S.:
Inverse multiobjective optimization: Inferring decision criteria from data.
Submitted to SIAM Journal on Optimization, 2019. (arXiv)

Peitz, S.; Ober-Blöbaum, S.; Dellnitz, M.:
Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.
Acta Applicandae Mathematicae 161(1), 171-199, 2019. (arXiv)

Klus, S.; Gelß, P.; Peitz, S.; Schütte, C.:
Tensor-based dynamic mode decomposition.
Nonlinearity 31(7), 3359-3380, 2018 (arXiv)

Peitz, S.; Dellnitz, M.:
A Survey of Recent Trends in Multiobjective Optimal Control – Surrogate Models, Feedback Control and Objective Reduction.
Mathematical and Computational Applications 23(2), 2018 (Link)

Ober-Blöbaum, S.; Peitz, S.:
Explicit multiobjective model predictive control for nonlinear systems with symmetries.
Submitted to International Journal of Robust and Nonlinear Control, 2018. (arXiv)

Peitz, S.:
Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data.
Submitted, 2019. (arXiv)

3. Buchkapitel

Banholzer, S.; Gebken, B.; Dellnitz, M.; Peitz, S.; Volkwein, S.:
ROM-based multiobjective optimization of elliptic PDEs via numerical continuation.
Submitted (arXiv)

Peitz, S.; Klus, S.:
Feedback control of nonlinear PDEs using data-efficient reduced order models based on the Koopman operator.
To appear in Mauroy A.; Suzuki, Y.; Mezić, I. (Eds.) "The Koopman Operator in Systems and Control: Concepts, Methodologies and Applications", Springer, 2020. (arXiv)

Beermann, D.; Dellnitz, M.; Peitz, S.; Volkwein, S.:
Set-Oriented Multiobjective Optimal Control of PDEs using Proper Orthogonal Decomposition.
In Keiper, W.; Milde, A.; Volkwein, S. (Eds.) "Reduced-Order Modeling (ROM) for Simulation and Optimization", 47-72, Springer, 2018 (preprint)

4. Konferenzbeiträge

Hanke, S.; Peitz, S.; Wallscheid, O.; Böcker, J.; Dellnitz M.:
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.

Gebken, B.; Peitz, S.; Dellnitz, M.:
A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.
NEO 2017 Proceedings, 29-61, Springer, 2019 (arXiv)

Klus, S.; Peitz, S.; Schuster, I.:
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions.
arXiv

Beermann, D.; Dellnitz, M.; Peitz, S.; Volkwein, S.:
POD-based multiobjective optimal control of PDEs with non-smooth objectives.
Proceedings in Applied Mathematics and Mechanics (PAMM) 17(1), 51-54, 2017. (PDF)

Peitz, S.; Schäfer, K.; Ober-Blöbaum, S.; Eckstein, J.; Köhler, U.; Dellnitz, M.:
A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.
IFAC PapersOnLine 50(1), 8674-8679, 2017 (arXiv)

Peitz, S.; Dellnitz, M.:
Gradient Based Multiobjective Optimization with Uncertainties.
NEO 2016 Proceedings, 159-182, Springer, 2018 (arXiv)

Peitz, S.; Gräler, M.; Henke, C.; Hessel-von Molo, M.; Dellnitz, M.; Trächtler, A.:
Multiobjective Model Predictive Control of an Industrial Laundry.
Procedia Technology 26, 483-490, 2016 (PDF)

Eckstein, J.; Peitz, S.; Schäfer, K.; Friedel, P.; Hessel-von Molo, M.; Ober-Blöbaum, S.; Dellnitz, M.:
A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles.
Procedia Technology 26, 465-472, 2016 (PDF)

Dellnitz, M.; Eckstein, J.; Flaßkamp, K.; Friedel, P.; Horenkamp, C.; Köhler, U.; Ober-Blöbaum, S.; Peitz, S.; Tiemeyer, S.:
Multiobjective optimal control methods for the development of an intelligent cruise control.
Progress in Industrial Mathematics at ECMI 2014, 633-641 2017 (PDF)

Peitz, S.; Ober-Blöbaum, S.; Dellnitz, M.:
Reduced Order Model based Multiobjective Optimal Control of Fluids.
XXIV ICTAM, 21-26 August 2016, Montreal, Canada - Online publication, 2016 (PDF)

Peitz, S.; Dellnitz, M.:
Multiobjectve Optimization of the Flow Around a Cylinder Using Model Order Reduction.
Proceedings in Applied Mathematics and Mechanics (PAMM) 15, 613-614, 2015 (PDF)

Dellnitz, M.; Eckstein, J.; Flaßkamp, K.; Friedel, P.; Horenkamp, C.; Köhler, U.; Ober-Blöbaum, S.; Peitz, S.; Tiemeyer, S.:
Development of an intelligent cruise control using optimal control methods.
Procedia Technology 15, 285-294, 2014 (PDF)

5. Vorträge und Workshops

6th International Conference on Continuous Optimization
05.08. - 08.08.2019 - Berlin, Germany
"Feedback control of nonlinear PDEs using Koopman-Operator-based switched systems"

SIAM Conference on Applications of Dynamical Systems
19.05. - 23.05.2019 - Snowbird, Utah, USA
"Data Driven Feedback Control of Nonlinear PDEs Using the Koopman Operator"

SIAM Conference on Computational Science and Engineering
25.02. - 01.03.2019 - Spokane, WA, USA
"Feedback Control of Nonlinear PDEs using Data-efficient Reduced Order Models Based on the Koopman Operator"

Symposium On Machine Learning for Dynamical Systems
11.02. - 13.02.2019 - London, UK
"Low-dimensional data-based surrogate models for analysis, simulation and control of high-dimensional dynamical systems"

Forschungsseminar der Fachgruppe CSC, Max-Planck-Institut für Dynamik Komplexer Technischer Systeme
20.11.2018 - Magedburg, Germany
"Data driven feedback control of nonlinear PDEs using the Koopman operator"

5th European Conference on Computational Optimization (EUCCO) 2018
10.09. - 12.09.2018 - Trier, Germany
"Data driven feedback control of nonlinear PDEs using the Koopman operator"

NUMDIFF-15
03.09. - 07.09.2018 - Halle (Saale), Germany
"Data driven feedback control of nonlinear PDEs using the Koopman operator"

Oxford Universitxy - Control Engineering Group Seminar
14.05.2018 - Oxford, UK
"Data driven feedback control of nonlinear PDEs using the Koopman operator"

89th Annual Meeting of GAMM
19.03. - 23.03.2018 - Munich, Germany
"Set-Oriented Multiobjective Optimal Control of PDEs using Certified ROMs"

4th CRITICS Workshop and Winter School on “Critical Transitions in Complex Systems: Mathematical theory and applications”
12.03. - 16.03.2018, Wöltingerode, Germany
"Controlling the Navier-Stokes equations using low-dimensional bilinear approximations obtained from data"

Center for Industrial Mathematics - University of Bremen
14.12.2017, Bremen, Germany
"Exploiting structure in multiobjective optimal control for real-time applicability and PDE constraints"

it's OWL Strategietagung
06.12.2017, Paderborn, Germany
"Mathematik in der Industrie - von der Mehrzieloptimierung zu intelligenten Systemen"

18th French - German - Italian Conference on Optimization
25.09. - 28.09.2017 - Paderborn, Germany
"Multiobjective optimization with uncertainties and the application to reduced order models for PDEs"

8th International Workshop on Set Oriented Numerics (SON)
12.09. - 15.09.2017 - Santa Barbara, California, USA
"A new framework for Koopman operator based open and closed loop control"

IFAC 2017 World Congress
19.07. - 24.07.2017 - Toulouse, France
"A Multiobjective MPC Approach for Autonomously Driven Electric Vehicle"

SIAM Conference on Applications of Dynamical Systems
21.05. - 25.05.2017 - Snowbird, Utah, USA
"A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles"

88th Annual Meeting of GAMM
06.03. - 10.03.2017 - Weimar, Germany
"POD-based Set Oriented Multiobjective Optimal Control"

Workshop on Optimal and Feedback Control of Differential Equations
21.11. - 23.11.2016 - Konstanz, Germany
"Multiobjective Optimal Control of the Navier-Stokes Equations Using Reduced Order Modeling"

KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization"
07.11. - 08.11.2016 - Robert BOSCH Campus, Renningen, Germany
"ROM-based Multiobjective Optimal Control of the Navier-Stokes Equations"

4th European Conference on Computational Optimization
12.09. - 14.09.2016 - Leuven, Belgium
"Reduced Order Model Based Multiobjective Optimal Control of Nonlinear PDEs"

24th International Congress of Theoretical and Applied Mechanics
21.08. - 26.08.2016 - Montreal, Canada
"Reduced Order Model based Multiobjective Optimal Control of Fluids"

11th AIMS Conference on Dynamical Systems, Differential Equations and Applications
01.07. - 05.07.2016 - Orlando, Florida, USA
"Multiobjective Optimal Control of Coherent Structures Using Reduced Order Modeling"

Paderborner Wissenschaftstage
27.06.2016, Paderborn, Germany
"Energieeffizientes autonomes Fahren mit Hilfe mathematischer Optimierungsverfahren"

SON2015 - 6th International Workshop on Set-Oriented Numerics
28.09. - 01.10.2015, London, England
"Multiobjective Optimal Control Methods for Fluid Flow Using Reduced Order Modeling"

SIAM Conference on Control & it's Applications
08.07. - 10.07.2015, Paris, France
"Multiobjective Optimal Control Techniques in Energy Management" (within the Minisymposium "Controls, Optimization and Estimation for Building Energy Managment")

GAMM 86th Annual Meeting
23.03. - 27.03.2015, Lecce, Italy
"Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction"

Oberwolfach Seminar: Projection Based Model Reduction
23.09. - 29.09.2014, Oberwolfach, Germany

SON2014 - 5th International Workshop on Set-Oriented Numerics
01.09. - 05.09.2014, Christchurch, New Zealand
"Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control"

SysInt2014 - Conference on System-Integrated Intelligence
02.07. - 04.07.2014, Bremen, Germany
"Development of an Intelligent Cruise Control using Optimal Control Methods"

ECMI2014 - European Consortium for Mathematics in Industry
09.06. - 13.06.2014, Taormina, Italy
"Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control"

6th Elgersburg School on Hybrid Dynamical Systems and Mathematical Biology
16.03. - 22.03.2014, Elgersbrug, Germany

Die Universität der Informationsgesellschaft