Periodic Oscillatory Solution to Delayed BAM Neural Networks with Impulses

By constructing suitable Lyapunov functional, ingeniously introducing some parameters, and applying some analytical techniques, we study the existence and global exponential stability of periodic solution to the delayed BAM neural networks with impulses, obtain some sufficient conditions. These results improve and extend some previous results and have important leading significance in the designing globally exponentially stable and periodic oscillatory delayed BAM neural networks with impulses.

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