| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 4946621 | Neural Networks | 2017 | 6 Pages | 
Abstract
												We discuss the global stability of switching Hopfield neural networks (HNN) with state-dependent impulses using B-equivalence method. Under certain conditions, we show that the state-dependent impulsive switching systems can be reduced to the fixed-time ones, and that the global stability of corresponding comparison system implies the same stability of the considered system. On this basis, a novel stability criterion for the considered HNN is established. Finally, two numerical examples are given to demonstrate the effectiveness of our results.
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											Authors
												Xianxiu Zhang, Chuandong Li, Tingwen Huang, 
											