Welcome!

I received my MSc ('10) and PhD ('14) degrees from the University of Liège, Belgium. Currently, I'm a senior Research Fellow with the Control Systems Technology Group at the Eindhoven University of Technology (TU/e), Netherlands. I'm also an invited Assistant Professor with the Aerospace and Mechanical Engineering Department at ULiège.

From 2014 to 2018, I was a postdoctoral researcher funded by the Fund for Scientific Research-FNRS in Belgium. I was also active during a year at the Vrije Universiteit Brussel, Belgium, hired on an ERC Advanted Grant, and I held a visiting position in 2015 at Duke University, Durham, USA.

Since 2017, I'm a member of the editorial board of the Mechanical Systems and Signal Processing journal. I also created and yearly co-organise since 2016 the Workshop on Nonlinear System Identification Benchmarks, an event bringing together researchers from the mechanical, control and machine learning communities. In 2016, I co-founded the NOLISYS start-up company.

 
Jean-Philippe Noël

My research focuses on the development of data-driven methodologies to model, control and design dynamic systems relevant to mechanical engineering. A recurrent subject of interest concerns the impact of nonlinearities on these systems. My activities are structured around two major axes:

FUNDAMENTAL QUESTIONS IN DATA-DRIVEN DYNAMICS

I address the full spectrum of topics in data-driven dynamics from test preparation, data acquisition and model construction to controller implementation and design optimisation. The originality of my work lies in a constant effort to apply to mechanical problems ideas and tools emerging in neighbouring fields, in particular in control theory, machine learning, applied maths and nonlinear dynamics. A few recent research directions I’m pursuing concern:

feedback linearising nonlinear systems using iterative learning control.

interpreting mechanical systems as dynamic networks towards topology detection.

modelling complex mechanical nonlinearities like friction using regression trees.

leveraging repetitive control for Identifying nonlinear vibration modes.

calculating bifurcations and manifolds from data-driven models for enhanced explainability.

quantifying the impact of nonlinear modelling errors on control robustness using random matrices.

INDUSTRIAL APPLICATIONS IN MECHANICS AND BEYOND

I find it essential to maintain in my work a sound balance between fundamental research and technology transfer. Over the past few years, I've been actively involved in collaborations with companies coming from various sectors of the mechanical engineering field at large, including:

mechatronics, with the French Aerospace Agency - ONERA and the Dutch National Institute for Subatomic Physics - Nikhef, on fast-moving and high-precision systems like industrial robots and gravitational wave detectors.

thermal engineering, with Philips Innovation Services, on thermoelectric heaters and coolers.

aeronautics and space engineering, with Siemens PLM Software, SONACA, the European Space Agency - ESTEC, and Airbus Defence and Space, on both low-level components and full-scale aircraft and spacecraft structures.

instrumentation engineering, with Thermo Fisher Scientific and Philips Electronics, on hysteretic actuators for mechatronics and medical applications.

For TU/e Master students, check out available thesis subjects on my Research page.

Contact

Address:

Eindhoven University of Technology
Department of Mechanical Engineering
Control Systems Technology Group

Room:

Building 15, Gemini-Zuid, room -01.127

Email:

j.m.m.g.noel at tue.nl

Google scholar: