Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407922 | Neurocomputing | 2013 | 9 Pages |
Abstract
In this paper, an adaptive feedback controller is proposed to achieve the synchronization of neutral-type neural networks with stochastic perturbation and parameter uncertainties. Based on LaShall-type invariance principle for stochastic differential delay equations, the stochastic analysis theory and the adaptive feedback control technique, we develop a linear matrix inequality approach to derive some new adaptive synchronization criteria. A numerical example and its simulation is given to demonstrate the effectiveness of the results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qingyu Zhu, Wuneng Zhou, Dongbing Tong, Jian'an Fang,