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: ACC (2023)
Keyphrases
- dynamical systems
- control theory
- machine learning
- nonlinear dynamical systems
- computer science
- differential equations
- dynamical models
- dynamic systems
- nonlinear dynamics
- linear systems
- qualitative simulation
- linear dynamical systems
- phase space
- dynamical behavior
- agent environment
- partially observable
- state space
- linear quadratic
- data mining
- optimal control
- learning tasks
- model checking
- control system
- learning algorithm
- control law
- reinforcement learning