Quaternary Delayed Cohen-Grossberg Fuzzy Neural Network Synchronization with Non-continuous Activations

This paper focuses on the finite-time and fixed-time for fuzzy quaternion-valued Cohen-Grossberg neural networks (FQVCGNNs) via non-continuous activations and time-varying delays.By designing Lyapunov functions and utilizing differential inequalities, several effective conditions are derived to ensure the finite-time and fixed-time synchronization of the addressed neural networks based on two different time-delayed feedback controllers.Moreover, a novel fixed-time convergence method is proposed to study synchronization in fixed-time of discontinuous delayed FQVCGNNs.In the end, two numerical examples with simulations are given to confirm the effectiveness of the synchronization criteria.