Neural ordinary differential equation control of dynamics on graphs
We study the ability of neural networks to calculate feedback control signals that steer trajectories of continuous-time nonlinear dynamical systems on graphs, which we represent with neural ordinary differential equations (neural ODEs). To do so, we present a neural ODE control (NODEC) framework an...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2022-03-01
|
Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.4.013221 |