Fixed/preassigned-time synchronization of fuzzy inertial neural netwroks via event-triggered controller

Abstract

The article studies fixed/preassigned-time synchronization in a fuzzy inertial neural network characterized by discontinuous activation functions and mixed delays. First, we adopt a more accurate method to calculate the settling-time. Then, we extend the result of fixed-time synchronization (FXS) to preassigned-time synchronization (PAS). Next, by designing event-triggered controller and applying the non-smooth theory, the stability criterion of FXS/PAS are obtained. Finally, in the simulation section, we illustrate the validity and practicability of the results by listing a specific example.