Variable-delay feedback control for stabilisation of highly nonlinear hybrid stochastic neural networks with time-varying delays

被引:8
作者
Wu, Ailong [1 ,2 ,3 ,4 ]
Yu, Han [1 ]
Zeng, Zhigang [2 ]
机构
[1] Hubei Normal Univ, Coll Math & Stat, Huangshi, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan, Peoples R China
[3] Hubei Normal Univ, Coll Math & Stat, Huangshi 435002, Peoples R China
[4] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
关键词
Stochastic neural network; variable time delays; highly nonlinear; variable-delay feedback control; stabilisation; Markov chain; STABILITY;
D O I
10.1080/00207179.2023.2168878
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:744 / 755
页数:12
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