分数阶离散神经网络的鲁棒控制

2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI) Pub Date : 2021-09-21 DOI:10.1109/ICRAMI52622.2021.9585959

Mellah Mohamed, Ouannas Adel

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引用次数: 0

摘要

本文旨在提出一种控制分数阶离散神经网络的通用方法。利用李雅普诺夫方法证明了一类分数阶离散神经网络的镇定性。数值算例和仿真结果验证了该稳定化方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Robust Control of Fractional Discrete Neural Networks

This paper aims to present a general approach to control fractional discrete neural networks. We prove a new theorem, which ensures the stabilization of some fractional discrete neural networks class’s utilzing the Lyapunov approach. A numerical example and simulation results are reported to confirm the stabilization approach efficiency.

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2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)

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