Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations.
Carlos Jose Gonzalez RojasAndreas DengelMateus Dias RibeiroPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- ordinary differential equations
- reduced order model
- power system
- differential equations
- dynamic systems
- kalman filter
- dynamic model
- kalman filtering
- controller design
- numerical solution
- mathematical models
- partial differential equations
- biological systems
- neural network
- state variables
- biologically inspired
- gene regulatory networks
- dynamical systems
- reverse engineering
- dimensionality reduction
- power system stabilizer
- machine learning