Chris Verhoek -- Home

• News
• About me
• Academic background

14-11-2023

New paper online! We finished the LPV extension on data-driven predictive control for both the state-feedback and output-feedback case. Of course we a guideline how to use this for nonlinear systems and/or noisy data! Check out the paper here.

24-09-2023

Today my 6 week-long visit at Florian Dörfler's group starts at ETH Zürich. I will give two talks there; a talk summarizing my research from the past year(s), and a tutorial on the LPV framework. I will also visit EPFL for a few days in the end of October.
EDIT (06-11-2023): This was an amazing experience. I've been welcomed with open arms on both an academic and social level. IfA can be proud of being such a nice, vibrant group!

10-07-2023

I presented my paper "Direct data-driven LPV control of nonlinear systems: An experimental result" at the IFAC conference today. Next to that, it was also my birthday! What a nice way to celebrate your birthday in Japan! I also found out that for the CDC decision notifications, the two papers where I'm the main author have been accepted for presentation!

04-04-2023

Now that the CDC deadline has passed, I'm glad to tell you that we have submitted four contributions!
One joint L-CSS submission (which we hope is a landmark paper) that combines the universal shifted stability and performance ideas with data-driven LPV control. You can read that paper here.
Three regular submissions, which is mainly joint work with wonderful people. Two are on data-driven analysis and (STL) control of LTI systems, while the other one is on the machine learning research line. The latter develops a stable and robust parametrization for learning LPV-ANN models.

01-02-2023

Our Automatica paper Automatica paper "Convex Incremental Dissipativity Analysis of Nonlinear Systems" is now available online and can be read here: doi.org/10.1016/j.automatica.2023.110859.

01-12-2022

What is better to end the year with some nice announcements.
First of all, our Automatica paper "Convex Incremental Dissipativity Analysis of Nonlinear Systems" has been accepted for publication! The extended version of the final submitted version can be found here.
Secondly, we finished two papers on the data-driven LPV control research line; one journal paper (submitted to IEEE-TAC) titled "Direct Data-Driven State-Feedback Control of LPV Systems" and a conference paper (submitted to IFAC2023) titled "Direct data-driven LPV control of nonlinear systems: An experimental result". Both papers discuss the direct data-driven synthesis of LPV state-feedback controllers, where the journal paper discusses all the theory, while the conference paper applies the theory in an experimental setting. In the end, we saw that one will only need 7 time-steps of measurement data for the design of an LPV state-feedback controller for an unbalanced disc system. See also a video of the experiments here and here.
And finally, the LPVS paper has been published in the LPVS proceedings. You can find it here.

17-07-2022

Good news! The paper Deep-Learning-Based Identification of LPV Models for Nonlinear Systems is accepted for presentation at, and publication in the proceedings of, the 61st IEEE Conference on Decision and Control in Cancun, Mexico. And the paper LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle that we submitted to the 5th IFAC Workshop on Linear Parameter Varying Systems is also accepted for presentation and publication!

19-05-2022

We have two new pre-prints online: a paper on Deep-Learning-Based Identification of LPV Models for Nonlinear Systems and a paper on the LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle. Enjoy the read!

23-02-2022

Our paper "Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems" has been published in the proceedings of the 60th IEEE Conference on Decision and Control (CDC). You can find it here.

My name is Chris Verhoek, and I'm currently working as a PhD candidate in the Control Systems group (Dept. of Electrical Engineering) at the Eindhoven University of Technology (TU/e). I'm working on data-based analysis and control of nonlinear systems with stability and performance guarantees, closely together with my promotor Roland Tóth and co-promotor Sofie Haesaert. This can of course be approached from both a broad and narrow perspective, so let me specify a bit further! During my PhD trajectory, I'm focusing on two research lines: (i) data-driven analysis and control of Linear Parameter-Varying (LPV) systems using Willems' Fundamental Lemma (see my paper), and (ii) learning-based model-augmentation using linear fractional represented artificial neural networks and a priori known first-principles models (see, e.g., this abstract). So, very exciting topics! You can find more details on my research here, here, or here.

Next to my love for exciting research, I'm also very much into hiking (see my blog on my experiences during the Laugavegur trail), jazz drumming and the art of mathematics (see for example a beautiful thread).

I obtained my BSc. degree in Mechatronics from the Avans University of Applied Sciences Breda in 2017, and my MSc degree in Systems and Control from the TU/e (cum laude) in 2020. During my MSc research, I worked on incremental dissipativity based analysis and control of nonlinear systems, and on a novel performance shaping framework for nonlinear systems. The research was carried out in the Control Systems group at the TU/e, under supervision of Roland Tóth and Patrick Koelewijn. My MSc thesis was selected as the best thesis of the year 2020 within the Electrical Engineering department. After my MSc graduation, I worked for 6 months as a University Researcher at the TU/e, prior to my PhD trajectory that started in February 2021.