Alexandre Hache

Alexandre Hache is a researcher at IMT Atlantique, affiliated with the Department of Automation, Production and Computer Sciences (DAPI) and the LS2N laboratory. His work bridges learning theory and control theory, focusing on data-driven methodologies for modeling and controlling nonlinear dynamical systems.

• Key Research Areas: Control Theory, Machine Learning, Nonlinear Systems, Neural Networks, Stability Analysis, LPV Systems

His thesis defense highlights innovative approaches to robust control using physical-neural hybrid models, including stability theorems and parameterization frameworks compatible with gradient algorithms. While no direct scientific awards or publications are listed, his research contributes to integrating neural networks into systematic controller design for disturbance attenuation.