Contraction Theory for Machine Learning

How can we mathematically ensure the safety and stability of machine learning-based control systems? 

This channel presents a tutorial overview of contraction theory and its advantages in nonlinear stability analysis of deterministic/stochastic systems, with an emphasis on deriving formal robustness and stability guarantees for various learning-based and data-driven automatic control problems.