间歇控制
人工神经网络
离散时间和连续时间
控制理论(社会学)
计算机科学
控制(管理)
随机神经网络
作者
Pengfei Wang,Qianjing He,Huan Su
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:53 (3): 2017-2027
被引量:9
标识
DOI:10.1109/tcyb.2021.3108574
摘要
This article investigates the stabilization of discrete-time stochastic neural networks with time-varying delay via aperiodically intermittent control (AIC). A comprehensive analysis of the stabilization of discrete-time delayed systems via AIC is provided, where the Lyapunov function method and the Lyapunov-Krasovskii functional method are investigated, respectively. Then, three stabilization criteria are given, which extend previous works from the continuous-time framework to the discrete-time one, and the average activation time ratio (AATR) of AIC is estimated. It is highlighted that for the Lyapunov-Krasovskii functional method, a more flexible estimation for the AATR can be obtained. Finally, the differences and the advantages of the three stabilization criteria are illustrated by numerical simulations.
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