577 citations · 721 across the 8 of their papers we have counts for
4 papers · 1 filter
Controlling Chaos Using Edge Computing Hardware
Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier
Machine learning provides a data-driven approach for creating a digital twin of a system - a digital model used to predict the system behavior. Having an accurate digital twin can…
Controlling Chaotic Maps using Next-Generation Reservoir Computing
Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier
In this work, we combine nonlinear system control techniques with next-generation reservoir computing, a best-in-class machine learning approach for predicting the behavior of dyna…
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
Wendson A. S. Barbosa, Daniel J. Gauthier
Forecasting the behavior of high-dimensional dynamical systems using machine learning requires efficient methods to learn the underlying physical model. We demonstrate spatiotempor…
Next Generation Reservoir Computing
Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1
Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it require…