Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
Truong X. NghiemJán DrgonaColin N. JonesZoltán NagyRoland SchwanBiswadip DeyAnkush ChakrabartyStefano Di CairanoJoel A. PaulsonAndrea CarronMelanie N. ZeilingerWenceslao Shaw-CortezDraguna L. VrabiePublished in: CoRR (2023)
Keyphrases
- dynamical systems
- control theory
- machine learning
- nonlinear dynamical systems
- dynamical models
- differential equations
- computer science
- dynamic systems
- qualitative simulation
- linear systems
- nonlinear dynamics
- control system
- control method
- agent environment
- learning algorithm
- phase space
- linear dynamical systems
- data mining
- control strategy
- state space
- dynamical behavior
- discrete dynamical systems
- control law
- sufficient conditions
- dynamic programming
- spatio temporal
- image sequences
- linear quadratic