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Chris Verhoek -- Research

Researcher etc.


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Welcome to my research page

On this page you can find information and news about my adventures in terms of research. You can find the list of my publications here.

News

20-09-2026
A new awesome collaboration just materialized on arxiv. With Sebastian Zieglmeier, Jaap Eising, Mathias Hudoba de Badyn and myself, we worked on nonlinear direct data-driven of residential heating systems with real-world experiments. Of course all credits to Sebastian for doing the heavy lifting! Check out the paper here!
16-09-2026
Next week I will visit James Anderson's group at Columbia University and present some of our new work on Control Architecture Theory! I'm very excited to meet everyone and grateful for the invitation!
01-08-2026
We recently submitted two journal papers two Automatica! One is the crystalization of my work on learning-based model-augmentation, in collaboration with SZTAKI. The other is a subspace extension of the LPV data-driven control paradigm allowing for better noise handling, in collaboration with Politecnico di Milano. Thank you all for the nice collaborations, I'm very excited about the papers!
15-07-2026
Good news from paperplaza: Both the submissions to CDC have been accepted! Our invited session proposal has been accepted as well. The accepted papers are: A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints and A Continuous-Time Generalization of the LPV Fundamental Lemma. See you in Hawai'i!
07-07-2026
I won the 2026 Best PhD Thesis Award in Systems and Control from the European Embedded Control Institute (EECI)!!!
27-04-2026
We just uploaded our paper "A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints" to arXiv. This is the first work coming out of my postdoc period here at UPenn. I'm very excited about this work, as it introduces, in my opinion, a fundamental building block for the understanding and design of optimal control architectures. The preprint can be found here: https://arxiv.org/abs/2604.24897.
10-04-2026
I gave a talk at the graduate student organization RSGO at the University of Delaware in the RGSO-CARS seminar series. Thank you for the invitation, the awesome lab tour and the interesting chats!
26-03-2026
The Dutch Institute of Systems and Control (DISC) decided that my PhD thesis was the best one of 2025! I'm very honored and happy to receive the prestigious DISC Best Thesis Award.
12-03-2026
I gave a talk at UBC in the UBC Control Seminar, organized by the Alberto Padoan! Alberto, thank you for the invitation!
05-03-2026
My PhD thesis is chosen as the best PhD thesis of 2026 in the Electrical Engineering department at the TU/e, and is therefore nominated for the TU/e Academic Awards. I'm very happy with this recognition!
01-12-2025
Mayor life update! Today, my first day as a postdoc at UPenn has started! I will work together with prof. Nikolai Matni and his group at the forefront of control architecture research! I'm very excited and grateful for this opportunity.
16-11-2025
Our paper "The most powerful unfalsified linear parameter-varying model" has been accepted for publication in Elsevier's Automatica! Thank you Ivan, for the nice collaboration! The preprint of the article can be found on Ivan's website.
27-10-2025
Our paper "A Linear Parameter-Varying Approach to Data Predictive Control" has been accepted for the IEEE Transactions on Automatic Control! The IEEE Early Access version can be found here: https://doi.org/10.1109/TAC.2025.3626955. See also the extended version on arXiv: https://arxiv.org/abs/2311.07140.
30-09-2025
I gave a talk about my PhD work in the Optimization-based Control group at the University of Ilmenau. I gracefully thank Karl Worthmann and Jan Heiland for the invite!
22-09-2025
Our paper "A behavioral approach for LPV data-driven representations" has been accepted for the IEEE Transactions on Automatic Control! The preprint can be found here: https://arxiv.org/abs/2412.18543v2.
15-08-2025
New paper online! We have developed another tool in the data-driven LPV analysis and control toolbox. Specifically, we have developed methods for data-driven interpolation and approximation of LPV trajectories, as a generalization of the well-known simulation problem. The preprint can be found here: https://arxiv.org/pdf/2508.11332.pdf.
25-06-2025
Our paper on Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems has been published in Wiley's International Journal of Robust and Nonlinear Control. Check it out here.
04-06-2025
I will give a talk at MIT in the LIDS research center, organized by the group of Gioele Zardini. Thank you, Gioele, for the invite! (update: link to slides)
02-06-2025
I'll be at the L4DC! Let's chat, if you're also there!
13-05-2025
I obtained my PhD with Cum Laude distinction!!!! People wrote an article about it, which you can read here. You can check out my Ph.D. thesis here.
Defense

Click here for old news items (before 13-05-2025).

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Blogs

For some occasions, I write a short blog post. All these occasions are listed here:

List of presentation slides
This post is simply a list of the presentations I gave during conferences or visits, including links to the slides.
List of released code and software
This post is simply a list of links to gitlab repositories that contain the code that I released for an article.
List of old news items
This post I dumped all the old news items.
Predictions with the Fundamental Lemma for LPV Systems
In this post, we want to add some extra information regarding the final prediction example of our 2021 CDC paper in terms of simulation data.
This list is incomplete, as this part is still under construction...

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List of publications

Below you find an as-complete-as-possible list of my publications (see also my Google Scholar page). If for some reason, you do not have access to the full text, shoot me an email. I denoted equal contribution with '*'.

Journal papers

  1. S. Zieglmeier, C. Verhoek, J. Eising, and M. Hudoba Badyn (2026). "Model-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive Control." Submitted to Energy and Buildings. (pdf, bibtex).
  2. F. Porcari, C. Verhoek, V. Breschi, R. Tóth, and S. Formentin (2026). "A subspace approach to data-driven predictive control for linear parameter-varying systems." Submitted to Automatica. (pdf, bibtex).
  3. B. Györök, R. Drenth, C. Verhoek, T. Péni, M. Schoukens, and R. Tóth (2026). "Data-driven augmentation of first-principles models under constraint-free well-posedness and stability guarantees." Submitted to Automatica. (pdf, bibtex).
  4. C. Verhoek, I. Markovsky, and R. Tóth (2026). "Direct data-driven interpolation and approximation of linear parameter-varying system trajectories." IFAC Journal of Systems and Control, vol. 35, pp. 100352. Open access, joint submission to ifac wc 2026. (pdf, bibtex, doi).
  5. L. Hemelhof, C. Verhoek, R. Tóth, I. Markovsky, and P. Patrinos (2026). "Identification of Shifted-Affine Linear Parameter-Varying Models in the Errors-In-Variables Setting." International Journal of Robust and Nonlinear Control, vol. 36, no. 11, pp. 5855–5878. (pdf, bibtex, doi).
  6. I. Markovsky, C. Verhoek, and R. Tóth (2026). "The most powerful unfalsified linear parameter-varying model." Automatica, vol. 186, pp. 112855. (pdf, bibtex, doi).
  7. C. Verhoek, I. Markovsky, S. Haesaert, and R. Tóth (2026). "A behavioral approach for LPV data-driven representations." IEEE Transactions on Automatic Control, vol. 71, no. 3, pp. 1616-1629. (pdf, bibtex, doi).
  8. C. Verhoek, J. Berberich, S. Haesaert, R. Tóth, and H.S. Abbas (2026). "A linear parameter-varying approach to data predictive control." IEEE Transactions on Automatic Control, vol. 71, no. 4, pp. 2512-2527. (pdf, bibtex, doi).
  9. J.H. Hoekstra, C. Verhoek, R. Tóth, and M. Schoukens (2025). "Learning-based model augmentation with LFRs." European Journal of Control. Special issue invited paper, part of ecc 2025 proceedings. (pdf, bibtex, doi).
  10. C. Verhoek, R. Tóth, and H.S. Abbas (2025). "Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems." International Journal of Robust and Nonlinear Control, vol. 35, no. 16, pp. 6955-6977. Open access. (pdf, bibtex, doi).
  11. C. Verhoek, J. Berberich, S. Haesaert, F. Allgöwer, and R. Tóth (2024). "Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems." IEEE Transactions on Automatic Control, vol. 69, no. 12, pp. 8603-8616. (pdf, bibtex, doi).
  12. C. Verhoek, P.J.W. Koelewijn, S. Haesaert, and R. Tóth (2023). "Convex Incremental Dissipativity Analysis of Nonlinear Systems." Automatica, vol. 150, pp. 110859. Open access. (pdf, bibtex, doi).

Conference papers

  1. C. Verhoek, and N. Matni (2026). "A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints." Accepted for presentation at the CDC 2026. Invited paper. (pdf, bibtex).
  2. P. Schmitz*, and C. Verhoek* (2026). "A Continuous-Time Generalization of the LPV Fundamental Lemma." Accepted for presentation at the CDC 2026. Invited paper. (pdf, bibtex).
  3. C. Verhoek, J. Eising, F. Dörfler, and R. Tóth (2024). "Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control." In Proc. of the 63rd IEEE Conference on Decision and Control, pp. 6761-6766. Invited paper. (pdf, bibtex, doi).
  4. B.C. van Huijgevoort, C. Verhoek, R. Tóth, and S. Haesaert (2024). "Direct data-driven control with signal temporal logic specifications." In Proc. of the 8th IFAC Conference on Analysis and Design of Hybrid Systems, pp. 177-182. (pdf, bibtex, doi).
  5. L.M. Spin, C. Verhoek, W.M.H. Heemels, N. van Wouw, and R. Tóth (2024). "Unified Behavioral Data-Driven Performance Analysis: A Generalized Plant Approach." In Proc. of the 2024 European Control Conference, pp. 894-899. Invited paper. (pdf, bibtex, doi).
  6. C. Verhoek, P.J.W. Koelewijn, S. Haesaert, and R. Tóth (2023). "Direct Data-Driven State-Feedback Control of General Nonlinear Systems." In Proc. of the 62nd IEEE Conference on Decision and Control, pp. 3688-3693. (pdf, bibtex, doi).
  7. C. Verhoek, H.S. Abbas, and R. Tóth (2023). "Direct data-driven LPV control of nonlinear systems: An experimental result." In Proc. of the 22nd IFAC World Congress, pp. 2263-2268. (pdf, bibtex, doi).
  8. C. Verhoek*, R. Wang*, and R. Tóth (2023). "Learning stable and robust linear parameter-varying state-space models." In Proc. of the 62nd IEEE Conference on Decision and Control, pp. 1348-1353. (pdf, bibtex, doi).
  9. L. Hewing, D. Gramlich, C. Verhoek, J. Veenman, R. Polonio, C. Ardura, R. Tóth, C. Ebenbauer, C.W. Scherer, and V. Preda (2023). "Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methods." In Proc. of the 12th International Conference on Guidance, Navigation & Control Systems, pp. 1-15. (pdf, bibtex).
  10. C. Verhoek, G.I. Beintema, S. Haesaert, M. Schoukens, and R. Tóth (2022). "Deep-learning-based identification of LPV models for nonlinear systems." In Proc. of the 61st IEEE Conference on Decision and Control, pp. 3274-3280. (pdf, bibtex, doi).
  11. M.H. de Lange, C. Verhoek, V. Preda, and R. Tóth (2022). "LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle." In Proc. of the 5th IFAC Workshop on Linear Parameter-Varying Systems, pp. 37-42. (pdf, bibtex, doi).
  12. C. Verhoek, H.S. Abbas, R. Tóth, and S. Haesaert (2021). "Data-Driven Predictive Control for Linear Parameter-Varying Systems." In Proc. of the 4th IFAC Workshop on Linear Parameter Varying Systems, pp. 101-108. (pdf, bibtex, doi).
  13. C. Verhoek, R. Tóth, S. Haesaert, and A. Koch (2021). "Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems." In Proc. of the 60th IEEE Conference on Decision and Control, pp. 5040-5046. (pdf, bibtex, doi).

Book chapters

  1. R. Tóth, and C. Verhoek (2026). "Modeling and Control of LPV systems." In Encyclopedia of Systems and Control Engineering, vol. 1, (Editor: Z. Ding). Elsevier, pp. 405-418. (pdf, bibtex, doi).

Technical reports

  1. C. Verhoek, and R. Tóth (2024). "Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form." arXiv print: arXiv:2408.00688. Eindhoven University of Technology. (pdf, bibtex).
  2. C. Verhoek, S. Haesaert, and R. Tóth (2023). "Another note on persistency of excitation: The linear parameter-varying case." Technical Report TUE CS. Eindhoven University of Technology. (pdf, bibtex).
  3. C. Verhoek, P.J.W. Koelewijn, R. Tóth, and S. Haesaert (2022). "Decomposition of a Positive Definite Matrix Function that is Continuously Differentiable." Technical Report TUE CS. Eindhoven University of Technology. (pdf, bibtex).

Abstracts

  1. C. Verhoek, H.J. van Waarde, S. Haesaert, and R. Tóth (2025). "Multi-step predictors for direct data-driven analysis and control of nonlinear systems through kernelized velocity forms." In Proc. of the IFAC Joint SSSC, TDS, COSY 2025. Invited abstract. (pdf, bibtex).
  2. C. Verhoek, P.J.W. Koelewijn, S. Haesaert, and R. Tóth (2024). "A direct data-driven state-feedback control approach for nonlinear systems." In Proc. of the 43nd Benelux Meeting on Systems and Control, pp. 214. (pdf, bibtex).
  3. J.H. Hoekstra, C. Verhoek, R. Tóth, and M. Schoukens (2024). "LFR-based data-driven model augmentation of physical models." In Proc. of the 43nd Benelux Meeting on Systems and Control, pp. 31. (pdf, bibtex).
  4. E.J. Olucha, C. Verhoek, V. Preda, A. Das, and R. Tóth (2024). "High-accuracy pointing control during on-orbit satellite refuelling." In Proc. of the 43nd Benelux Meeting on Systems and Control, pp. 235. (pdf, bibtex).
  5. C. Verhoek, S. Haesaert, and R. Tóth (2023). "An experimental result on direct data-driven control of nonlinear systems using the LPV framework." In Proc. of the 42nd Benelux Meeting on Systems and Control, pp. 214. (pdf, bibtex).
  6. C. Verhoek, R. Tóth, and S. Haesaert (2022). "Learning-Based Model-Augmentation of Nonlinear Approximative Models using the Sub-Space Encoder." In Proc. of the 41st Benelux Meeting on Systems and Control, pp. 52. (pdf, bibtex).
  7. C. Verhoek, R. Tóth, and S. Haesaert (2021). "Data-Driven Predictive Control of Linear Parameter-Varying Systems." In Proc. of the 40th Benelux Meeting on Systems and Control, pp. 55. (pdf, bibtex).
  8. C. Verhoek, P.J.W. Koelewijn, and R. Tóth (2020). "Incremental Dissipativity Analysis of Nonlinear Systems using the Linear Parameter-Varying Framework." In Proc. of the 39th Benelux Meeting on Systems and Control, pp. 75. (pdf, bibtex).

Theses

  1. C. Verhoek, "Data-Driven Analysis and Control of Nonlinear Systems with Stability and Performance Guarantees: A Linear Parameter-Varying Approach," Ph.D. Thesis, Eindhoven University of Technology, 2025. Awards: DISC 2026 Best Ph.D. Thesis Award, EECI 2026 Best Ph.D. Thesis in Systems and Control Award, TU/e Best Ph.D. Thesis nominee. (pdf, bibtex)
  2. C. Verhoek, "Incremental Dissipativity Based Control of Nonlinear Systems," M.Sc. Thesis, Eindhoven University of Technology, 2020. TU/e Best M.Sc. Thesis nominee. (pdf, bibtex)

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