| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7154937 | Communications in Nonlinear Science and Numerical Simulation | 2018 | 28 Pages |
Abstract
In this paper, the exponential synchronization of stochastic neutral-type neural networks with time-varying delay and Lévy noise under non-Lipschitz condition is investigated for the first time. Using the general Itô's formula and the nonnegative semi-martingale convergence theorem, we derive general sufficient conditions of two kinds of exponential synchronization for the drive system and the response system with adaptive control. Numerical examples are presented to verify the effectiveness of the proposed criteria.
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Authors
Shuo Ma, Yanmei Kang,