research
∙
08/21/2023
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
Deep neural networks that approximate nonlinear function-to-function map...
share
research
∙
07/21/2023
Newton Nonholonomic Source Seeking for Distance-Dependent Maps
The topics of source seeking and Newton-based extremum seeking have flou...
research
∙
03/18/2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Unlike ODEs, whose models involve system matrices and whose controllers ...
research
∙
11/28/2022
Machine Learning Accelerated PDE Backstepping Observers
State estimation is important for a variety of tasks, from forecasting t...
research
∙
01/31/2022