控制理论(社会学)
非线性系统
人工神经网络
控制(管理)
变量(数学)
反馈控制
计算机科学
控制变量
功能(生物学)
随机神经网络
数学
控制工程
循环神经网络
工程类
人工智能
物理
数学分析
机器学习
生物
进化生物学
量子力学
作者
Ailong Wu,Yu Han,Zhigang Zeng
标识
DOI:10.1080/00207179.2023.2168878
摘要
A new highly nonlinear hybrid stochastic neural network with variable time delays is formulated, which is usually found to be unstable. In addition, the network coefficients considered in this article grow polynomially rather than linearly as we always considered before. Since original system is unstable, the purpose of this article is to construct a variable-delay feedback control function to make the augmented system stable. Then, four results on the stabilisation of the controlled system are given separately. At last, an example is provided to display the feasibility of theoretical results.
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