Stability of Impulsive Cellular Neural Networks with Time-varying Delays
Yuanqiang Chen · Journal of Networks · 2013
The problems of exponential stability and exponential convergence rate for a class of impulsive cellular neural networks with time-varying delays are studied. By means of the Lyapunov stability theory and discrete-time Halanay-type inequality technique, stability criteria for ensuring global exponential stability of no-impulsive discrete-time cellular neural networks and impulsive discrete-time cellular neural network with time-varying delays are derived respectively, and the estimated exponential convergence rate is provided as well. Finally, the validity of the obtained results is shown by two numerical examples.