International Journal of Control, Vol.91, No.8, 1745-1756, 2018
Stability analysis of impulsive stochastic Cohen-Grossberg neural networks driven by G-Brownian motion
This paper is devoted to study the stability of a class of impulsive stochastic Cohen-Grossberg neural networks driven by G-Brownian motion. By means of G-Lyapunov function, Borel-Cantelli lemma and inequality technique, a series of sufficient conditions on pth moment stability and quasi-sure stability with respect to a general decay function are established. A concrete example is given to illustrate the obtained results.
Keywords:Stochastic Cohen-Grossberg neural network;G-Brownian motion;pth moment stability;quasi-sure stability;G-Lyapunov function;decay function