3 papers
eess.SY2020
Model-Free Control of Dynamical Systems with Deep Reservoir Computing
Daniel Canaday, Andrew Pomerance, Daniel J Gauthier
We propose and demonstrate a nonlinear control method that can be applied to unknown, complex systems where the controller is based on a type of artificial neural network known as…
cs.CR2019
Hybrid Boolean Networks as Physically Unclonable Functions
Noeloikeau Charlot, Daniel Canaday, Andrew Pomerance +1
We introduce a Physically Unclonable Function (PUF) based on an ultra-fast chaotic network known as a Hybrid Boolean Network (HBN) implemented on a field programmable gate array. T…
cs.LG2018
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer
Daniel Canaday, Aaron Griffith, Daniel Gauthier
Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique us…