most citedDeep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs

9 citations · 9 across the 1 of their papers we have counts for

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math.AP2023★ 9 cited

Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs

Shanshan Wang, Mamadou Diagne, Miroslav Krstić

Deep neural networks that approximate nonlinear function-to-function mappings, i.e., operators, which are called DeepONet, have been demonstrated in recent articles to be capable o…

math.AP2023

Delay-Adaptive Control of First-order Hyperbolic PIDEs

Shanshan Wang, Jie Qi, Miroslav Krstic

We develop a delay-adaptive controller for a class of first-order hyperbolic partial integro-differential equations (PIDEs) with an unknown input delay. By employing a transport PD…