Fixed/Predefined-Time Synchronization of Complex-Valued Stochastic BAM Neural Networks with Stabilizing and Destabilizing Impulse

This article is mainly concerned with the fixed-time and predefined-time synchronization problem for a type of complex-valued BAM neural networks stochastic perturbations impulse effect. First, some previous stability results on nonlinear impulsive systems in which stabilizing destabilizing impulses were separately analyzed are extended to general case can be handled simultaneously. Additionally, using same logic, new lemma effect obtained by inequality technique. Then, based these novel results, two controllers implemented derive simple fixed/predefined-time criteria considered non-separation method. Finally, numerical examples given demonstrate feasibility results.