46 citations · 61 across the 2 of their papers we have counts for
2 papers
math.DS2022★ 46 cited
Comparison of Deep Learning and Deterministic Algorithms for Control Modeling
Hanfeng Zhai, Timothy Sands
Controlling nonlinear dynamics arise in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN)…
eess.SY2021★ 15 cited
Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning
Hanfeng Zhai, Timothy Sands
Controlling nonlinear dynamics is a long-standing problem in engineering. Harnessing known physical information to accelerate or constrain stochastic learning pursues a new paradig…