Set4MOST

Organizers of Set4MOST

Registration

Participation at Set4MOST is free of charge but with a mandatory registration. A preregistration, by sending your CV, is required before the 15th of March 2026, where the scientific organizers will select the candidates based on their CVs. Notifications on acceptance/rejection will be given by March 22nd, 2026. The number of participants is limited to 50.

Email for registration: 

Set4MOST

Modelling, Estimation, and Control using Set-Based Methods: Theory and Applications

April 20-24, 2026

The spring school Set4MOST will take place at the Department of Computing Science at the Carl von Ossietzky Universität Oldenburg, Germany. After a first successful event at Centrale Lille in February 2024, we are happy to announce the second edition of the winter/spring school series on „Modelling, Estimation, and Control using Set-Based Methods”.

All the courses will be presented in English.

All participants are responsible for planning and paying for their stay in Oldenburg. Lunch may be offered but this remains to be confirmed.

Objective

The objective of this spring school is to provide a comprehensive introduction to set-based methods, particularly interval-based approaches, spanning from theoretical foundations to their applications in various problem domains such as parameter identification, state estimation, and robust control.

The aim is to equip attendees with the knowledge and skills needed to apply set-based methods effectively in their research, engineering, or scientific work, while also promoting these methods as valuable tools in addressing complex and uncertain systems.

The training will be led by researchers actively involved in this field, who will bring their own academic and industrial expertise. The format of the training will be intentionally diverse, combining both lectures and practical workshops where participants will have the opportunity to use open-source tools to solve real-world problems.

Target Audience

The school is mainly intended for PhD students and early-career researchers demonstrating an interest in the field of set-based methods. They must submit a scientific CV that shows an academic background enabling them to follow the content of the event.

Tentative Program

Besides scientific presentations and workshop-oriented teaching, Set4MOST will include poster sessions in which the attending PhD students present their scientific results in smaller groups with the speakers organizing Set4MOST.

Confirmed Speakers:

  1. Ekaterina Auer (University of Applied Sciences, Wismar, Germany): Parallelization of Interval Methods via the Use of GPUs
  2. Sara Ifqir (Centrale Lille, France): Interval State Estimation
  3. Vicenç Puig (Universitat Politècnica de Catalunya, Barcelona, Spain): Set-Based Approaches for Diagnosis and Fault-Tolerant Control
  4. Tarek Raissi (CNAM, Paris, France): Robust State and Parameter Estimation under Bounded Uncertainties
  5. Andreas Rauh (Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany): Interval Methods for Robust Control
  6. Nathalie Revol (ENS Lyon, France): Introduction to interval arithmetic and interval analysis
  7. Simon Rohou (ENSTA, Brest, France): Contractors for Set-Membership State Estimation
  8. Joris Tillet (ENSTA, Paris, France): Introduction to Interval Analysis

Organizers of Set4MOST

Sara Ifqir received the M.Sc. degree in electronics, electrical energy and automatic control, and the Ph.D. degree in automatic control from the University of Paris-Saclay, Paris-Saclay, France, in 2016 and 2019, respectively. From November 2019 to August 2021, she worked as a postdoctoral researcher with the University of Bordeaux – Campus Talence, Talence, France. Since September 2021, she joined Centrale Lille Institute as associate professor. Her current research interests include nonlinear, switched and multi-agents systems, robust control, set-membership estimation and fault diagnosis for complex physical systems with special focus on the fields of intelligent vehicles.
Andreas Rauh received his diploma degree in electrical engineering and information technology from the Technische Universität München, Munich, Germany, in 2001, his PhD degree (Dr.-Ing.) from the University of Ulm, Germany, in 2008, and his habilitation (Dr.-Ing. habil.) in Measurement Technology and Automatic Control from the University of Rostock, Germany, in 2017. After a research stay at ENSTA Bretagne (Brest, France), Andreas was appointed Full Professor at the Carl von Ossietzky Universität Oldenburg, Germany, where he is heading the group « Distributed Control in Interconnected Systems » since October 2021. His research interests include modeling, control, as well as state and parameter estimation for systems with stochastic and set-valued uncertainty.
Simon Rohou is Associate Professor at ENSTA Bretagne (Lab-STICC, Brest, France). He defended a Franco-British PhD in Robotics (ENSTA Bretagne, University of Sheffield), in 2017. He was a Postdoctoral Researcher on constraint propagation techniques for dynamical systems at IMT Atlantique (LS2N, Nantes, France). His work focuses on robotics and especially set-membership localization methods for autonomous underwater robots. His research interests include constraint propagation and interval methods for state estimation.

Sponsors

(Changed: 10 Mar 2026)  |  Kurz-URL:Shortlink: https://uol.de/p117271en
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