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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xianxiu Zhang, Chuandong Li, Tingwen Huang,