New results on anti-synchronization in predefined-time for a class of fuzzy inertial neural networks with mixed time delays

This paper investigates the anti-synchronization in predefined-time for fuzzy inertial neural networks (FINNs) with mixed delays. In the light of predefined-time stability theorems, the FINNs can reach anti-synchronization by employing two distinctive bilayer predefined-time control inputs which the setting-time is a explicit value without considering on initial values that has a great improvement over other settlement times in previous researches. Based on Lyapunov stability theory, sufficient conditions are converted to a type of algebraic inequalities which are very concise and avoid complicated calculations. In the end, some numerical examples and applications are illustrated to validate reliability of proposed results here.