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Global generalized.exponential stability for a class of nonautonomous cellular neural networks via generalized Halanay inequalities

机译:一类通过广义Halanay不等式的非自治细胞神经网络的全局广义指数稳定性

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摘要

This paper investigates a new type of stability, namely global generalized exponential stability of the nonautonomous delayed cellular neural networks. Several novel delay-dependent sufficient conditions are established by applying a new generalized Halanay inequality. In these conditions, the boundedness of time-varying delays and coefficients are not required. In addition, the effectiveness of these conditions is illustrated by two numerical examples. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文研究了一种新型的稳定性,即非自治时滞细胞神经网络的全局广义指数稳定性。通过应用新的广义Halanay不等式,建立了几种新颖的依赖延迟的充分条件。在这些条件下,不需要时变延迟和系数的有界性。此外,两个数值示例说明了这些条件的有效性。 (C)2016 Elsevier B.V.保留所有权利。

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