Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference

Mathematics

• Constraint Model 33%
• Definiteness 33%
• Learned Model 66%
• Linear Term 33%
• Low-Dimensional Dynamical Systems 33%
• Model Form 33%
• Nonlinear Term 66%
• Physical System 66%
• Polynomial 33%
• Polynomial Model 33%
• Reduced Model 100%
• Regularization 100%

Computer Science

• Dynamical System 50%
• Physical System 100%
• Regularization 100%
• Tikhonov Regularization 50%

Keyphrases

• Cubic Nonlinear Term 20%
• Desirability Bias 20%