Integrating Physics-Informed Deep Learning and Numerical Methods for
Robust Dynamics Discovery and Parameter Estimation
Integrating Physics-Informed Deep Learning and Numerical Methods for
Robust Dynamics Discovery and Parameter Estimation
Incorporating a priori physics knowledge into machine learning leads to more robust and interpretable algorithms. In this work, we combine deep learning techniques and classic numerical methods for differential equations to solve two challenging problems in dynamical systems theory: dynamics discovery and parameter estimation. Results demonstrate the effectiveness of the …