Herr M.Sc.

Johannes Köhler

Wissenschaftlicher Mitarbeiter
Institut für Systemtheorie und Regelungstechnik

Kontakt

+49 711 685-67751
+49 711 685-67735

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 2.235

Fachgebiet

My research focuses on Model Predictive Control for dynamic operation (set point tracking, trajectory tracking, periodic optimal control,...).

Journal publications

  • A. Romer, J. Berberich, J. Köhler, F. Allgöwer
    One-shot verification of dissipativity properties from input-output data,
    IEEE Control System Letters 2019.
  • J. Köhler, M. A. Müller, F. Allgöwer
    Distributed Model Predictive Control - Recursive feasibility under inexact dual optimization,
    Automatica 2019. [Extended version]
  • J. Köhler, M. A. Müller, F. Allgöwer
    Nonlinear reference tracking: An economic model predictive control perspective,
    Transactions of Automatic Control (TAC) 2019.
  • J. Köhler, M. A. Müller, F. Allgöwer
    On periodic dissipativity notions in economic model predictive control,
    IEEE Control Systems Letters, 2018.
  • J. Berberich, J. Köhler, F. Allgöwer, M. A. Müller
    Indefinite linear quadratic optimal control: Strict dissipativity and turnpike properties,
    IEEE Control Systems Letters, 2018.
  • M. Hertneck, J. Köhler, S. Trimpe , F. Allgöwer
    Learning an approximate Model Predictive Controller with Guarantees ,
    IEEE Control Systems Letters, 2018.
  • J. Köhler, M. A. Müller, F. Allgöwer
    A nonlinear model predictive control framework using reference generic terminal ingredients,
    Transactions of Automatic Control (TAC) 2018, accepted. [preprint]
  • J. Köhler, R. Soloperto, M. A. Müller, F. Allgöwer
    A computationally efficient robust model predictive control framework for uncertain nonlinear systems,
    Transactions of Automatic Control (TAC) 2019, submitted. [preprint]
  • J. Köhler, M. A. Müller, F. Allgöwer
    A nonlinear tracking model predictive control scheme for dynamic target signals,
    Automatica 2019, submitted. [preprint]
  • J. Berberich, J. Köhler, F. Allgöwer, M. A. Müller
    Dissipativity properties in constrained optimal control: A computational approach,
    Automatica, 2018, submitted. [preprint]
  • J. Berberich, J. Köhler, M. A. Müller, F. Allgöwer.
    Data-driven model predictive control with stability and robustness guarantees 
    Transactions on Automatic Control, 2019, submitted. [preprint]
  • J. Köhler, P. Kötting, R. Soloperto, F. Allgöwer, M. A. Müller
    A robust adaptive model predictive control framework for nonlinear uncertain systems,
    International Journal of Robust and Nonlinear Control, 2019, submitted. [preprint]

Conference publications

  • J. Berberich, J. Köhler, M. A. Müller, F. Allgöwer.
    Data-Driven Tracking MPC for changing Setpoints 
    IFAC World Congress, 2020, submitted. [preprint]
  • J. Köhler, E. Andina, R. Soloperto, M. A. Müller, F. Allgöwer
    Linear robust adaptive model predictive control: Computational complexity and conservatism,
    EEE Conference on Decision and Control (CDC) 2019, to appear. . [Extended version]
  • R. Soloperto, J. Köhler, M. A. Müller, F. Allgöwer
    Dual adaptive MPC for output tracking of linear systems,
    EEE Conference on Decision and Control (CDC) 2019, to appear. . [Preprint]
  • J. Köhler, M. A. Müller, F. Allgöwer
    A simple framework for nonlinear robust output-feedback MPC,
    European Control Conference (ECC) 2019.
  • R. Soloperto, J. Köhler, M. A. Müller, F. Allgöwer
    Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control,
    European Control Conference (ECC) 2019. [Extended version]
  • J. Köhler, M. A. Müller, F. Allgöwer
    MPC for nonlinear periodic tracking using reference generic offline computations,
    Nonlinear Model Predictive Control Confernece (NMPC) 2018.
  • J. Köhler, M. A. Müller, F. Allgöwer
    A novel constraint tightening approach for nonlinear robust model predictive control,
    American Control Conference (ACC), Milwaukey , USA, 2018.
  • J. Köhler, C. Enyioha, F. Allgöwer
    Dynamic Resource Allocation to Control Epidemic Outbreaks - A Model Predictive Control Approach,
    American Control Conference (ACC), Milwaukey , USA, 2018.
  • J. Köhler, M. A. Müller, F. Allgöwer
    Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach,
    European Control Conference (ECC), Limassol , Cyprus, 2018.
  • J. Köhler, M. A. Müller, N. Li, F. Allgöwer 
    Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Approach,
    Proceedings of the IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017. 
  • J. Köhler, M. Manderla, F. Malchow
    Embedded Model Predictive Direct Switching Control for High Performance Electrical Drives - A Quantitative Comparison,
    Proceedings of the IFAC World Congress, Toulouse, France, 2017.
  • J. Fehr, J. Köhler, C. Kleinbach.
    Optimal Forces for the Deceleration of the ES-2 Dummy.
    Proceedings of the 10th European LS-DYNA Conference 2015, Würzburg, Germany
 
Wintersemester 2020

Praktikum Konzepte der Regelungstechnik

Sommersemester 2019

Dozent Model Predictive Control

Wintersemester 2019

Einführung in die Regelungstechnik
Praktikum Konzepte der Regelungstechnik

Sommersemester 2018

Model Predictive Control

Wintersemester 2017/18

Praktikum Konzepte der Regelungstechnik
Wahrscheinlichkeitstheorie und Statistik I

Sommersemester 2017

Model Predictive Control
Wahrscheinlichkeitstheorie und Statistik II

Betreung studentischer Arbeiten
  • Learning-based Approximate Model Predictive Control with Guarantees - Joining Neural Networks with Recent Robust MPC, Master Thesis (supervised together with Sebastian Trimpe), available online
  • Complexity and conservatism in linear robust adaptive Model Predictive Control, Master Thesis
  • Learning an Approximate Model Predictive Controller with Guarantees, Student Thesis (supervised together with Sebastian Trimpe), available online
  • Indefinite linear quadratic optimal control: periodic dissipativity and turnpike properties, Master Thesis (supervised together with Matthias Müller) available online
  • Comparison of MPC Topologies - A case study, Master Thesis (supervised together with Phillip Wenzelburger)
  • Model Predictive Control of autonomous Vehicles at the Limits of Vehicle Dynamics, Masterthesis (external supervision)
  • Prädiktive Längstrajektorienregelung für das autonome Fahren, Masterthesis (external supervision)
  • Nonlinear Model Predictive Control in application to collision avoidant Robotic Manipulation, Masterthesis (external supervision)
2018 Outstanding Reviewer 2018 for Control Systems Letters (L-CSS) (14 outstanding Reviewer from approximate 500 Reviewer).
Seit 02/2017 Wissenschaftlicher Mitarbeiter am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart.
03/2016−08/2016 Praktikum bei Robert Bosch GmbH, CR/AEH3, Renningen.
 10/2012−01/2017

Studium der Technischen Kybernetik an der Universität Stuttgart

  • Masterarbeit: 01/2017
    "Distributed Economic Model Predictive Control under inexact minimization with application to Power Systems "
  • Bachelorarbeit: 01/2015
    "Entwurf und Implementierung eines Regelalgorithmus zur Berechnung eines optimalen Sicherheitskonzepts für den ES2 Dummy im Seitencrash"
10/2015-01/2017 HiWi am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart.
04/2013-09/2015 HiWi am Institut für Technische und Numerische Mechanik, Universität Stuttgart.
06/2012 Abitur am Erich Kästner Gymansium, Eislingen.
Zum Seitenanfang