With the developments of wireless data communication and network technology, time-delays
are widely found in nowadays' control systems, eg networked control systems, mobile robot …

This paper deals with the synchronization issue of multiweighted and directed coupled
reaction-diffusion neural networks with hybrid coupling (MDCRDNNHC) based on boundary …

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 PDE to …

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

We develop a delay‐adaptive controller for a class of first‐order hyperbolic partial integro‐
differential equations with an unknown input delay. By employing a transport PDE to …

In chemical, biological, or population (epidemiological) processes the feedback action may
be considerably delayed by time-consuming chemical measurements or biological tests …

This paper presents a delay-adaptive boundary control scheme for a 2× 2 coupled linear
hyperbolic PDE-ODE cascade system with an unknown and arbitrarily long input delay. To …

The paper develops an adaptive constrained tracking control technique for a class of 2× 2
hyperbolic partial differential equation (PDE) systems with boundary actuator dynamics …

Neural operator approximations of the gain kernels in PDE backstepping has emerged as a
viable method for implementing controllers in real time. With such an approach, one …

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 influence …