含有离散时滞及分布时滞分数阶神经网络的渐近稳定性分析
Year: 2020
Type: article
Abstract: The asymptotic stability of fractional-order neural networks with discrete delays and distributed delays in the sense of Caputo derivatives was studied. Through construction of the Lyapunov function and with the fractional Razumikhin theorem, sufficient conditions for asymptotic stability of fractional-order neural networks with discrete and distributed delays were given, and 4 examples were given to illustrate the validity of the proposed theorem conditions.
Source: 应用数学和力学
Authors: 刘健，张志信，蒋威, LIU Jian, ZHANG Zhixin, JIANG Wei
Language: Chinese
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4234823597