Global exponential stability and existence of periodic solution of Cohen–Grossberg type neural networks with delays and impulses

Abstract

Based on the continuation theorem of coincidence degree theory, some analysis techniques and Lyapunov functional method, the existence and global exponential stability of periodic solution of Cohen–Grossberg type model of neural network with delays and impulses is investigated. Our results extend those existing ones. Further, an illustrative example is given to demonstrate the effectiveness of the obtained results.