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

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.

authors

• Huang, Tingwen

published proceedings

• Neural Netw

author list (cited authors)

• Zhang, X., Li, C., & Huang, T.

citation count

• 32

complete list of authors

• Zhang, Xianxiu||Li, Chuandong||Huang, Tingwen

publication date

• September 2017

publisher

• Elsevier  Publisher

published in

• Neural Networks  Journal

keywords

• B-equivalence
• Electronics
• Global Stability
• Hopfield Neural Network (hnn)
• Neural Networks, Computer
• State-dependent Impulse
• Switching

PubMed Central ID

• 28646762

Digital Object Identifier (DOI)

• 10.1016/j.neunet.2017.04.009

start page

• 176

end page

• 184

volume

• 93

URL

• http://dx.doi.org/10.1016/j.neunet.2017.04.009