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Matthieu Barreau is an Assistant Professor at KTH Royal Institute of Technology in the Division of Decision Control Systems. He received his Engineering Degree from ISAE-ENSICA (Aeronautical Engineer) and a Ph.D. in July 2019, focusing on stabilization applications in drilling pipes. His research interests lie in the optimization of performance and stability analysis of infinite-dimensional dynamical systems. He translates semidefinite optimization problem constraints and participates in theory developments and applications in this field. Matthieu is particularly interested in finding exact solutions for optimization problems using relaxations to convert them into semidefinite programs, as well as employing machine learning techniques to approximate solutions. His work involves using robust control tools, Lyapunov functions, and Integral Quadratic Constraints (IQCs). He actively collaborates with researchers across Europe and has received funding from various prestigious organizations including the Swedish Research Council and the Knut and Alice Wallenberg Foundation. Matthieu has supervised multiple master's and doctoral students and is involved in teaching courses related to Hybrid Embedded Control Systems and Scientific Machine Learning Modeling. He is passionate about advancing the use of Physics-Informed Neural Networks in control theory and has published his findings in several collaborative projects.
KTH Royal Institute of Technology • Stockholm, Sweden
Matthieu Barreau is focused on theoretical development and application in the field of Decision Control Systems.
KTH Royal Institute of Technology • Stockholm, Sweden
Conducted research in stabilization applications and participated in various projects and collaborations.
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