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New stability results for delayed neural networks. (English) Zbl 1426.34103
Summary: This paper is concerned with the stability for delayed neural networks. By more fully making use of the information of the activation function, a new Lyapunov-Krasovskii functional (LKF) is constructed. Then a new integral inequality is developed, and more information of the activation function is taken into account when the derivative of the LKF is estimated. By Lyapunov stability theory, a new stability result is obtained. Finally, three examples are given to illustrate the stability result is less conservative than some recently reported ones.

MSC:
34K20 Stability theory of functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics
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