Global exponential stability of cellular neural networks with variable delays
نویسنده
چکیده
For cellular neural networks with time-varying delays, the problems of determining the exponential stability and estimating the exponential convergence rate are investigated by employing the Lyapunov–Krasovskii functional and linear matrix inequality (LMI) technique. A novel criterion for the stability, which give information on the delay-dependent property, is derived. Two examples are given to demonstrate the effectiveness of the obtained results. 2006 Elsevier Inc. All rights reserved.
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ورودعنوان ژورنال:
- Applied Mathematics and Computation
دوره 183 شماره
صفحات -
تاریخ انتشار 2006