Further Analysis on Fixed/Preassigned-Time Projective Synchronization of Discontinuous Fuzzy Delayed Inertial Neural Networks

Our goal is addressing the problems of preassigned-time projective synchronization and fixed-time projective synchronization of the system that studied in our article, and fuzzy terms, mixed delays, inertial terms and discontinuous activation function are also included in this system. And the results of this article are based on the latest fixed-time stabilization lemma. Through the construction of adaptative Lyapunov function and new corresponding feedback controllers, we arrive at the results of fixed-time projective synchronization and preassigned-time projective synchronization about investigated neural networks, and we are using a non-reduced-order approach. The proposed results are more extensive in comparison with traditional anti-synchronization and synchronization. To validate the theoretical findings, we provide numerical simulations demonstrating the effectiveness and advantages of the proposed control schemes. Furthermore, we provided confidential communications to further verify the validity of the results.