Dieses Bild zeigt Matthias Köhler

Matthias Köhler

Herr M.Sc.

Wissenschaftlicher Mitarbeiter
Institut für Systemtheorie und Regelungstechnik

Kontakt

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 3.240

Sprechstunde

In meinem persönlichen webex room, nach Vereinbarung.

Fachgebiet

Ich arbeite im Gebiet Networked Control Systems, in dem ich mich hauptsächlich mit der Anwendung von prädiktiven Regelungsvefahren in der Regelung über Netzwerke mit knappen Kommunikationsressourcen sowie datengetriebenen Methoden beschäftige.

S. Wildhagen, M. Pezzutto, L. Schenato, F. Allgöwer.
Self-triggered MPC robust to bounded packet loss via a min-max approach

2022 IEEE Conference on Decision and Control (CDC), 2022, accepted [preprint]

S. Wildhagen, F. Allgöwer.
Uncertainties and output feedback in rollout event-triggered control

IEEE Transactions on Control of Network Systems, 2022, accepted [preprint]

S. Wildhagen, F. Dürr, F. Allgöwer.
Rollout event-triggered control: reconciling event- and time-triggered control

at - Automatisierungstechnik, vol. 70, no. 4, pp. 331-342, 2022. [preprint]

S. Wildhagen, J. Berberich, M. Hirche, F. Allgöwer.
Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis

2021 IEEE Conference on Decision and Control (CDC), 2021. [preprint]

S. Schlor, M. Hertneck, S. Wildhagen, F. Allgöwer.
Multi-party computation enables secure polynomial control based solely on secret-sharing

2021 IEEE Conference on Decision and Control (CDC), 2021. [preprint]

S. Wildhagen, J. Berberich, M. Hertneck, F. Allgöwer.
Data-driven analysis and controller design for discrete-time systems under aperiodic sampling

IEEE Transactions on Automatic Control, 2022, accepted [preprint]

J. Berberich, S. Wildhagen, M. Hertneck, F. Allgöwer.
Data-driven analysis and control of continuous-time systems under aperiodic sampling

19th IFAC Symposium on System Identification, 2021. [preprint]

S. Linsenmayer, B.W. Carabelli, S. Wildhagen, K. Rothermel, F. Allgöwer.
Controller and Triggering Mechanism Co-Design for Control over Time-Slotted Networks

IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 222-232, 2020.

Y. Lian, S. Wildhagen, Y. Jiang, B. Houska, F. Allgöwer, C.N. Jones.
Resource-Aware Asynchronous Multi-Agent Coordination Via Self-Triggered MPC
2020 IEEE Conference on Decision and Control (CDC), 2020. [extended version]

S. Wildhagen, F. Allgöwer.
Rollout scheduling and control for disturbed systems via tube MPC
2020 IEEE Conference on Decision and Control (CDC), 2020. [extended version]

S. Wildhagen, C.N. Jones, F. Allgöwer.
A resource-aware approach to self-triggered model predictive control
21st IFAC World Congress, 2020. [extended version]

F. Jaumann, S. Wildhagen, F. Allgöwer.
Saving Tokens in Rollout Control with Token Bucket Specification

21st IFAC World Congress, 2020. [preprint]

S. Wildhagen, F. Allgöwer.
Scheduling and control over networks using MPC with time-varying terminal ingredients
2020 IEEE American Control Conference (ACC), 2020. [extended version]

J. Falk, F. Dürr, S. Linsenmayer, S. Wildhagen, B.W. Carabelli, K. Rothermel.
Optimal routing and scheduling of complemental flows in converged networks

27th International Conference on Real-Time Networks and Systems, 2019.

S. Wildhagen, M.A. Müller, F. Allgöwer.
Economic MPC using a cyclic horizon with application to Networked Control Systems
11th IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2019.

S. Wildhagen, M.A. Müller, F. Allgöwer.
Predictive control over a dynamical token bucket network
IEEE Control Systems Letters, vol. 3, no. 4, pp. 859-864, 2019.

S.Wildhagen, S. Michalowsky, J.Feiling, C. Ebenbauer.
Characterizing the learning dynamics in Extremum Seeking: The role of gradient averaging and non-convexity
2018 IEEE Conference on Decision and Control (CDC), 2018. [extended version]

Seit 06/2018 Wissenschaftlicher Mitarbeiter am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart.
02/2017-07/2017 Praktikum bei der Robert Bosch GmbH, CR/AEE3, Renningen, Deutschland.
08/2016−01/2017 Auslandssemester an der KTH Stockholm, Schweden.
10/2015-05/2018

Studium der Technischen Kybernetik (M.Sc.) an der Universität Stuttgart.

  • Masterarbeit: "Characterizing the Learning Dynamics in Extremum Seeking"
10/2012-09/2015

Studium der Technischen Kybernetik (B.Sc.) an der Universität Stuttgart.

  • Bachelorarbeit: "Control of a Rear-Steered Bicycle"
06/2012 Abitur am Johann-Vanotti-Gymnasium Ehingen.
 
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