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08/21/2023
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
Deep neural networks that approximate nonlinear function-to-function map...
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07/21/2023
Newton Nonholonomic Source Seeking for Distance-Dependent Maps
The topics of source seeking and Newton-based extremum seeking have flou...
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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 ...
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11/28/2022
Machine Learning Accelerated PDE Backstepping Observers
State estimation is important for a variety of tasks, from forecasting t...
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01/31/2022
