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

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

collaborators

3 papers

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…

math.OC2023

Delay-Adaptive Compensator for 3-D Space Formation of Multi-Agent Systems with Leaders Actuation

Shanshan Wang, Mamadou Diagne, Jie Qi

This paper focuses on the control of collective dynamics in large-scale multi-agent systems (MAS) operating in a 3-D space, with a specific emphasis on compensating for the influen…