Fixed-time Stabilization of Delayed Neural Networks: A Switching Control Framework Design

In this paper, the fixed-time stabilization for a type of nonlinear delayed neural networks (DNNS) is investigated. By designing an appropriate switching closed-loop controller and using inequality techniques, a sufficient condition is developed to guarantee the fixed-time stabilization. Finally, two simulation examples are provided to demonstrate the validity of our theoretical results.