| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 407894 | Neurocomputing | 2013 | 9 Pages |
The purpose of this paper is to investigate the delay-dependent synchronization analysis for coupled discrete-time neural networks with interval time-varying delays in network couplings. Based on Lyapunov method, a new delay-dependent criterion for the synchronization of the networks is derived in terms of linear matrix inequalities (LMIs) by construction of a suitable Lyapunov–Krasovskii's functional and utilization of Finsler's lemma without free-weighting matrices. Two numerical examples are given to illustrate the effectiveness of the proposed method.
► A synchronization criterion for coupled discrete-time neural networks is proposed. ► Interval time-varying delays in network couplings are considered. ► New zero equalities from the constructed mathematical model are proposed. ► Various simulations are conducted to check effectiveness of the proposed methods.
