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Passivity Analysis of BAM NNs with Mixed Time Delays

机译:混合时间延迟BAM NNS的被动分析

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This paper is concerned with a delay-differential equation modeling a bidirectional associative memory neural networks (BAM NNs) with mixed time delays. By using the inequality techniques, a Lyapunov-Krasovskii functional candidate is introduced to reach the novel sufficient conditions that warrant the passivity of delayed BAM NNs. The novel passivity criterion is proposed in terms of inequalities, which can be checked easily. A numerical example is provided to demonstrate the effectiveness of the proposed results.
机译:本文涉及一种带有混合时间延迟的双向关联内存神经网络(BAM NNS)的延迟微分方程。通过使用不等式技术,引入了Lyapunov-krasovskii功能候选者以达到新的充分条件,以保证延迟BAM NN的钝化性。在不平等方面提出了新的被动标准,可以轻松检查。提供了一个数值示例以证明所提出的结果的有效性。

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