We welcome submissions to the open track:

"Neural Networks for and within Nonlinear Control: Analysis, Design and Estimation" 

for the 23rd IFAC World Congress 2026

August 23-28, 2026

Busan, South Korea

Submit here as "Open invited track paper" with code 61v41

Description

Nonlinear systems are at the core of many modern engineering applications; yet, their estimation and control present significant hurdles for complex tasks or under limited computational resources. Recent advances in machine learning, particularly neural networks (NNs), have opened new avenues to tackle these challenges by offering flexible, data-driven solutions. However, their adoption in safety-critical domains is contingent on providing theoretical guarantees for stability, performance, and robustness. This invited session brings together contributions at the intersection of nonlinear systems theory and NN-based methods, with a special emphasis on key topics such as NN-based observers and controllers that embed formal guarantees. Our goal is to provide a forum for exchanging ideas, highlighting recent breakthroughs, and identifying open challenges in building reliable NN-based methods for nonlinear systems.

How to submit

Anybody is welcome to submit a paper to the open track!

1. Send us an email if you are interested in contributing to the session.

2. Write the paper in the IFAC conference template (available here)

3. Submit here as "Open invited track paper" using code 61v41

4. The paper undergoes review and, if accepted, is presented at the conference

For any questions you are welcome to contact us: Clara Galimberti and Samuele Zoboli

Organizers

• Clara Galimberti (IDSIA USI-SUPSI)

• Samuele Zoboli (LAAS-CNRS)

• Daniele Astolfi (LAGEPP-CNRS)

• Giancarlo Ferrari-Trecate (EPFL)

• Sophie Tarbouriech (LAAS-CNRS)

Contacts

For any questions you are welcome to contact:

• Clara Galimberti (clara.galimberti@supsi.ch) 

• Samuele Zoboli (samuele.zoboli@laas.fr)