Sebastian Peitz

Sebastian Peitz

sebastian.peitz@upb.de
Institution: Paderborn University
Department: Department of Computer Science
Position: Data Science for Engineering
http://www.cs.upb.de/dse

Data-driven model reduction, optimization and control of complex dynamical systems; Reinforcement learning; Multiobjective optimization / Multicriteria machine learning

  • Error bounds for kernel-based approximations of the Koopman operator (2024)

    Authors: Friedrich M. Philipp, Manuel Schaller, Karl Worthmann, Sebastian Peitz, Feliks Nüske

    Published at: Applied and Computational Harmonic Analysis (Volume: 71)
    DOI: 10.1016/j.acha.2024.101657

  • Distributed control of partial differential equations using convolutional reinforcement learning (2024)

    Authors: Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira

    Published at: Physica D: Nonlinear Phenomena (Volume: 461)
    DOI: 10.1016/j.physd.2024.134096

  • Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems (2024)

    Authors: Konstantin Sonntag, Sebastian Peitz

    Published at: Journal of Optimization Theory and Applications (Volume: 201)
    DOI: 10.1007/s10957-024-02389-3

  • Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches (2024)

    Authors: Septimus Boshoff, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda, Sebastian Peitz, Oliver Wallscheid

    Published at: PESS 2023 - Power and Energy Student Summit

  • ElectricGrid.jl – Automated modeling of decentralized electrical energy grids (2024)

    Authors: Marvin Meyer, Daniel Weber, Vikas Chidananda, Oliver Schweins, Jan Stenner, Septimus Boshoff, Sebastian Peitz, Oliver Wallscheid

    Published at: PESS 2023 - Power and Energy Student Summit

  • Numerical Evidence for Sample Efficiency of Model-Based Over Model-Free Reinforcement Learning Control of Partial Differential Equations (2024)

    Authors: Stefan Werner, Sebastian Peitz

    Published at: 2024 European Control Conference, ECC 2024
    DOI: 10.23919/ECC64448.2024.10590945

  • FAST CONVERGENCE OF INERTIAL MULTIOBJECTIVE GRADIENT-LIKE SYSTEMS WITH ASYMPTOTIC VANISHING DAMPING (2024)

    Authors: Konstantin Sonntag, Sebastian Peitz

    Published at: SIAM Journal on Optimization (Volume: 34)
    DOI: 10.1137/23M1588512

  • Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories (2024)

    Authors: Samuel Otto, Sebastian Peitz, Clarence Rowley

    Published at: SIAM Journal on Applied Dynamical Systems (Volume: 23)
    DOI: 10.1137/22m1523601

  • EFFICIENT TIME-STEPPING FOR NUMERICAL INTEGRATION USING REINFORCEMENT LEARNING (2023)

    Authors: Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt

    Published at: SIAM Journal on Scientific Computing (Volume: 45)
    DOI: 10.1137/21M1412682

  • On the universal transformation of data-driven models to control systems (2023)

    Authors: Sebastian Peitz, Katharina Bieker

    Published at: Automatica (Volume: 149)
    DOI: 10.1016/j.automatica.2022.110840