This study focuses on developing a continuous differential neural network (DNN)
approximating min–max robust control by applying dynamic neural programming. The …

This work proposes the design of a robust controller for the perturbed kinematic model of the
unicycle mobile robot, considering a neuro-identifier that imposes restrictions on the …

Neural networks and neural ODEs tend to be vulnerable to adversarial attacks, rendering
robust optimizers critical to curb the success of such attacks. In this regard, the key insight of …

This work proposes the design of a robust controller for the perturbed kinematic model of the
unicycle mobile robot. The controller is based on integral sliding modes (ISMs) and the …