南通大学学报（自然科学版）2023，Vol.22Issue(4)：62-68,7.DOI:10.12194/j.ntu.20221208002
一类分数阶复值神经网络的有限时间同步
Finite-time synchronization for a class of fractional-order complex-valued neural networks
摘要
Abstract
In this study,finite-time synchronization of fractional-order complex-valued neural networks with state-dependent switching items is investigated through the establishment of a novel hybrid control protocol.The developed hybrid control protocol can be applied to other network models with state switching,effectively addressing the chal-lenges posed by the transitional uncertainties in network systems.Sufficient criteria for finite-time synchronization of such fractional-order complex-valued neural networks are provided using an appropriate Lyapunov function and in-equality scaling techniques.These synchronization criteria are based on a non-separation method,eliminating the need to divide the complex-valued system into two real-valued systems for analysis,thus more accurately reflecting the essence of complex-valued networks.The effectiveness of the obtained synchronization results is validated through numerical simulations.关键词
复值神经网络/有限时间同步/分数阶/状态依赖切换Key words
complex-valued neural networks/finite-time synchronization/fractional-order/state-dependent switching分类
信息技术与安全科学引用本文复制引用
朱佳庆,姚宇,张国东..一类分数阶复值神经网络的有限时间同步[J].南通大学学报（自然科学版）,2023,22(4):62-68,7.基金项目
国家自然科学基金面上项目(61976228) （61976228）
湖北省自然科学基金面上项目(2019CFB618) （2019CFB618）
