南通大学学报（自然科学版）2025，Vol.24Issue(1)：51-57,7.DOI:10.12194/j.ntu.20240424001
一类具有扇形死区的分数阶神经网络系统同步
A class of fractional order neural network systems with sector dead zones for synchronization
蒋文芳 1刘恒2
作者信息
- 1. 重庆工商大学派斯学院 软件工程学院,重庆 401520
- 2. 广西民族大学 数学与物理学院,广西 南宁 530006
- 折叠
摘要
Abstract
Synchronization is examined for a class of fractional order neural network systems with sector dead zones and orders between 1 and 2.Through variable replacement,the synchronization problem for systems with orders in(1,2)is reformulated as one with orders in(0,1).Unknown nonlinear functions within these networks are approximated using Lipschitz continuity conditions,converting them into known functions with a residual error.A synchronization controller is constructed to align the slave neural network with the master neural network.Convergence of the synchronization error system is assessed using the Lipschitz stability criterion.Simulation examples are provided,with graphical depictions of the master-slave neural network system and error system illustrating the method's performance.关键词
扇形死区/分数阶神经网络/同步控制Key words
sector dead-zones/fractional order neural network/synchronous control分类
计算机与自动化引用本文复制引用
蒋文芳,刘恒..一类具有扇形死区的分数阶神经网络系统同步[J].南通大学学报（自然科学版）,2025,24(1):51-57,7.
