Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses.

Zhang, Xianxiu; Li, Chuandong; Huang, Tingwen · Neural Netw · 2017

basic_science · Level V

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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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