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Stability Analysis for a Class of Impulsive Bidirectional Associative Memory (BAM) Neural Networks with Distributed Delays and Leakage Time-Varying Delays

机译:一类脉冲双向关联记忆(BAM)神经网络的稳定性分析,分布式延迟和泄漏时变延迟

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摘要

In this paper, by employing contraction mapping principle theorem and by finding suitable Lyapunov-Krasovskii functional, some sufficient conditions are given for the existence and the global exponential stability, the uniform asymptotic stability, the global asymptotic stability and the uniform stability of the unique equilibrium point of bidirectional associative memory neural networks with distributed delays and leakage time-varying delays. Three illustrative examples are given at the end of this paper to demonstrate the effectiveness of our theoretical results.
机译:本文通过采用收缩映射原理定理和通过查找合适的Lyapunov-Krasovskii功能,给出了存在的存在和全球指数稳定性,均匀的渐近稳定性,全局渐近稳定性和独特平衡均匀稳定性的条件双向关联内存神经网络具有分布式延迟和泄漏时变延迟。本文结束时给出了三个说明性示例,以证明我们理论结果的有效性。

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