State-dependent impulsive Cohen-Grossberg neural networks with time-varying delays

Sayli, Mustafa
In this paper, a more general class of state-dependent impulsive Cohen-Grossberg neural networks having variable coefficients with time-varying delays is addressed. By means of B-equivalence method, we reduce this state-dependent impulsive neural networks system to a fix time impulsive neural networks system. Sufficient conditions for existence and global exponential stability of the equilibrium point as well as periodic solution are obtained by employing a suitable Lyapunov function, the Banach fixed point theorem and the Halanay-type impulsive differential inequality technique. Finally, two examples with numerical simulations to show the effectiveness of our theoretical results are illustrated.
Citation Formats
M. Sayli and E. YILMAZ, “State-dependent impulsive Cohen-Grossberg neural networks with time-varying delays,” NEUROCOMPUTING, vol. 171, pp. 1375–1386, 2016, Accessed: 00, 2020. [Online]. Available: