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New Results for Periodic Solution of High-Order BAM Neural Networks with Continuously Distributed Delays and Impulses

机译:高阶BAM神经网络定期解决方案的新结果,具有连续分布延迟和冲动

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摘要

By M-matrix theory, inequality techniques, and Lyapunov functional method, certain sufficient conditions are obtained to ensure the existence, uniqueness, and global exponential stability of periodic solution for a new type of high-order BAM neural networks with continuously distributed delays and impulses. These novel conditions extend and improve some previously known results in the literature. Finally, an illustrative example and its numerical simulation are given to show the feasibility and correctness of the derived criteria.
机译:通过M-Matrix理论,不等式技术和Lyapunov功能方法,获得了某些充分的条件,以确保具有连续分布延迟和脉冲的新型高阶BAM神经网络的周期性解决方案的存在,唯一性和全局指数稳定性。这些新颖的条件延伸并改善了文献中的一些先前已知的结果。最后,给出了说明性示例及其数值模拟,以显示出衍生标准的可行性和正确性。

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