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

Abstract

Abstract 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.

Keywords

• Cohen-Grossberg neural networks (CGNN)
• switching
• state-dependent impulse
• B-equivalence
• global stability