Synchronization of Timescale-Type Nonautonomous Neural Networks With Proportional Delays
研究了一类驱动-响应时间尺度型非自主比例延迟神经网络的同步问题，利用比较原理和时间尺度理论得到同步判据，并通过三个例子验证了结果。
Synchronization of a class of drive-response timescale-type nonautonomous proportional-delayed neural networks (TNPNNs) is addressed in this article. The key technique to cope with the proportional term is using comparison principle. By timescale theory, inequality technique, and comparison principle, criteria of synchronization are obtained. The method used in this article is effective to cope with TNPNNs and it is a direct approach as well by eliminating the conventional exponential transformation. The obtained results are verified with three examples.