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...

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Bibliographic Details
Main Authors: Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin
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