Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks

abstract

• 2017, The Author(s). This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method. Under certain conditions, the state-dependent impulsive switching systems can be reduced to the fixed-time ones. Furthermore, a stability criterion for the considered CGNN using the proposed comparison system is established. Finally, two numerical examples are provided to illustrate the efficiency of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• ADVANCES IN DIFFERENCE EQUATIONS

author list (cited authors)

• Zhang, X., Li, C., & Huang, T.

citation count

• 10

complete list of authors

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

publication date

• December 2017

publisher

• Springer Nature  Publisher

published in

• n1687-1847ISSN  Journal

keywords

• B-equivalence
• Cohen-grossberg Neural Networks (cgnn)
• Global Stability
• State-dependent Impulse
• Switching

Digital Object Identifier (DOI)

• 10.1186/s13662-017-1375-z

start page

• 316

volume

• 2017

issue

• 1

URL

• http://dx.doi.org/10.1186/s13662-017-1375-z