Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8901108 | Applied Mathematics and Computation | 2018 | 13 Pages |
Abstract
This paper is concerned on the global exponential synchronization in timescale sense for a class of nonautonomous recurrent neural networks (NRNNs) with discrete-time delays on time scales. Firstly, a timescale-type comparison result is given based on the induction principle of time scales. Then by the constructed comparison lemma, the theory of time scales and analytical techniques, several synchronization criteria for the driven and response NRNNs are obtained. Moreover, several examples are given to show the effectiveness and validity of the main results. The obtained synchronization criteria improve or extend some existing ones in the literature.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lingyu Wang, Tingwen Huang, Qiang Xiao,