Stability of Impulsive Cellular Neural Networks with Time-varying Delays
نویسنده
چکیده
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 noimpulsive discrete-time cellular neural networks and impulsive discrete-time cellular neural network with timevarying 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.
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ورودعنوان ژورنال:
- JNW
دوره 8 شماره
صفحات -
تاریخ انتشار 2013