Periodic Solutions for High-Order Cohen-Grossberg-Type BAM Neural Networks with Time-Delays

摘要

In this paper, the existence and exponential stability is studied of periodic solutions for a class of high-order Cohen-Grossberg-type BAM neural networks with time-delays. By differential mean value theorem, integral mean value theorem and poincare mapping, several sufficient conditions guaranteeing the existence, uniqueness and exponential stability of periodic solutions for high-order Cohen-Grossberg-type BAM neural networks with time-delays are given. An illustrative examples are also given in the end to show the effectiveness of our results.