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Institut für Systemtheorie und Regelungstechnik
Institut
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Strässer

Robin Strässer

Herr M.Sc.

Wissenschaftlicher Mitarbeiter
Institut für Systemtheorie und Regelungstechnik

Kontakt

+49 711 685 66308
E-Mail

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 2.234

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Bitte kontaktieren Sie mich zuerst per E-Mail, um einen Termin zu vereinbaren. Die Sprechstunde findet in meinem Webex-Raum statt.

Fachgebiet

Mein Forschungsgebiet ist die datenbasierte Regelung.

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Publikationen

(Zeitschriften-) Aufsätze
1. Wagner, V., Strässer, R., Allgöwer, F., Radde, N.E.: A provably convergent control closure scheme for the Method of Moments of the Chemical Master Equation. bioRxiv:2023.05.03.539185. (2023). https://doi.org/10.1101/2023.05.03.539185.
  - BibTeX
  BibTeX
  @article{Wagner23b, abstract = {In this article, we introduce a novel moment closure scheme based on concepts from Model Predictive Control (MPC) to accurately describe the time evolution of the statistical moments of the solution of the Chemical Master Equation (CME). The Method of Moments, a set of ordinary differential equations frequently used to consider the first nm moments, is generally not closed since lower-order moments depend on higher-order moments. To overcome this limitation, we interpret the moment equations as a nonlinear dynamical system, where the first nm moments serve as states and the closing moments serve as control input. We demonstrate the efficacy of our approach using two example systems and show that it outperforms existing closure schemes. For polynomial systems, which encompass all mass-action systems, we provide probability bounds for the error between true and estimated moment trajectories. We achieve this by combining convergence properties of a priori moment estimates from stochastic simulations with guarantees for nonlinear reference tracking MPC. Our proposed method offers an effective solution to accurately predict the time evolution of moments of the CME, which has wide-ranging implications for many fields, including biology, chemistry, and engineering.Competing Interest StatementThe authors have declared no competing interest.}, author = {Wagner, Vincent and Str{\"a}sser, Robin and Allg{\"o}wer, Frank and Radde, Nicole Erika}, doi = {10.1101/2023.05.03.539185}, elocation-id = {2023.05.03.539185}, eprint = {https://www.biorxiv.org/content/early/2023/05/03/2023.05.03.539185.full.pdf}, journal = {bioRxiv:2023.05.03.539185}, publisher = {Cold Spring Harbor Laboratory}, title = {A provably convergent control closure scheme for the Method of Moments of the Chemical Master Equation}, url = {https://www.biorxiv.org/content/early/2023/05/03/2023.05.03.539185}, year = 2023 }
Konferenzbeiträge
1. Strässer, R., Berberich, J., Allgöwer, F.: Control of bilinear systems using gain-scheduling: Stability and performance guarantees. In: 62nd IEEE Conference on Decision and Control (submitted), Preprint: arXiv:2304.04486 (2023).
  - BibTeX
  BibTeX
  @inproceedings{ist:strasser23b, author = {Str{\"a}sser, Robin and Berberich, Julian and Allgöwer, Frank}, booktitle = {62nd IEEE Conference on Decision and Control (submitted), Preprint: arXiv:2304.04486}, title = {Control of bilinear systems using gain-scheduling: {Stability} and performance guarantees}, year = 2023 }
2. Strässer, R., Berberich, J., Allgöwer, F.: Robust data-driven control for nonlinear systems using the Koopman operator. In: 22nd IFAC World Congress (accepted), Preprint: arXiv:2304.03519 (2023).
  - BibTeX
  BibTeX
  @inproceedings{ist:strasser23a, author = {Str{\"a}sser, Robin and Berberich, Julian and Allgöwer, Frank}, booktitle = {22nd IFAC World Congress (accepted), Preprint: arXiv:2304.03519}, title = {Robust data-driven control for nonlinear systems using the Koopman operator}, year = 2023 }
3. Schlor, S., Strässer, R., Allgöwer, F.: Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange. In: 22nd IFAC World Congress (submitted), Preprint: arXiv:2211.11290 (2022).
  - BibTeX
  BibTeX
  @inproceedings{ist:schlor2022a, author = {Schlor, Sebastian and Strässer, Robin and Allgöwer, Frank}, booktitle = {22nd IFAC World Congress (submitted), Preprint: arXiv:2211.11290}, preprinturl = {https://arxiv.org/abs/2211.11290}, title = {Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange}, year = 2022 }
4. Strässer, R., Berberich, J., Allgöwer, F.: Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics. In: Proc. 60th IEEE Conf. Decision and Control (CDC). pp. 4344–4351. , Austin, TX, USA (2021). https://doi.org/10.1109/CDC45484.2021.9683211.
  - BibTeX
  BibTeX
  @inproceedings{ist:strasser21a, address = {Austin, TX, USA}, author = {Str{\"a}sser, R. and Berberich, J. and Allg{\"o}wer, F.}, booktitle = {Proc. 60th IEEE Conf. Decision and Control (CDC)}, doi = {10.1109/CDC45484.2021.9683211}, pages = {4344-4351}, title = {Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics}, year = 2021 }

Lehre

Praktikum KRT Organisation und Betreuung (WS 2020/21, WS 2021/22, WS 2022/23)
Systemdynamische Grundlagen der Regelungstechnik (SS 2021, SS 2022, SS 2023)
Data-Driven Control (WS 2022/23)

Lebenslauf

Seit 10/2020	Wissenschaftlicher Mitarbeiter am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart, Deutschland
06/2020-09/2020	Wissenschaftliche Hilfskraft am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart, Deutschland
10/2019-03/2020	Auslandssemester an der University of California, Santa Barbara (UCSB), USA, bei Prof. James B. Rawlings
10/2018-02/2019	Studentische Hilfskraft am Institut für Systemtheorie und Regelungstechnik (IST), Universität Stuttgart, Deutschland
10/2018-09/2020	Master Studiengang Simulation Technology an der Universität Stuttgart, Deutschland Masterarbeit: "An Analysis on Robustness of Output-Feedback Model Predictive Control and State-Feedback Linear-Quadratic Regulation" am Institut für Systemtheorie und Regelungstechnik (IST), Universität Stuttgart, Deutschland, angefertigt in Kooperation mit Prof. James B. Rawlings an der University of California, Santa Barbara (UCSB), USA
04/2018-09/2018	Studentische Hilfskraft am Institut für Angewandte Analysis und Numerische Simulation (IANS), Universität Stuttgart, Deutschland
10/2017-09/2018	Studentische Hilfskraft am Institut für Parallele und Verteilte Systeme (IPVS), Universität Stuttgart, Deutschland
10/2016-09/2018	Studentische Hilfskraft am Institut für Mechanik (MIB), Universität Stuttgart, Deutschland
10/2015-11/2018	Bachelor Studiengang Simulation Technology an der Universität Stuttgart, Deutschland Bachelorarbeit: "Querdynamik-Modellierung und -Regelung eines Modellfahrzeugs" am Institut für Systemdynamik (ISYS), Universität Stuttgart, Deutschland
06/2015	Abitur am Friedrich-Schiller-Gymnasium Fellbach, Deutschland

Robin Strässer

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Robin Strässer

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