Incorporating domain knowledge from the physical sciences to improve the robustness and data efficiency of machine learning control methods in real-world systems

Constrained Neural ODEs with Stability Guarantees

October 02, 2020

Modeling ordinary differential equations with algebraic nonlinearities using neural networks which incorporate physics-informed structural priors alongside optimization constraints to improve data efficiency and stability.