Exponential Stability of a Class of Neural Networks with Time-Varying Delay∗
نویسندگان
چکیده
Global exponential stability for a class of cellular neural networks (CNNs) with time-varying delay is considered. By using the method of Lyapunov Krasovskii functional and linear matrix inequality (LMI) technique, some sufficient conditions for global exponential stability of CNNs are obtained. The conditions presented here are related to the size of delay. An example is given to illustrate the feasibility of our results. AMS Subject Classifications: 34K20; 92B20
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