摘要
研究了具有混合时滞的模糊惯性中立型Cohen-Grossberg神经网络有限时间同步问题。通过设计Lyapunov函数和自适应控制器,拟采用非降阶法和最大值法来实现模糊惯性中立型Cohen-Grossberg神经网络有限时间同步。对于惯性项和有限时间同步的讨论不同于现有文献中使用的降阶法和有限时间稳定性理论。最后,通过数值示例验证了结果的正确性。
In this paper,synchronization properties of fuzzy inertial neutral-type Cohen-Grossberg neural networks with mixed delays are considered.By designing Lyapunov function and adaptive controller,the non-reduced order method and maximum value method are proposed to realize finite-time synchronization of fuzzy inertial neutral-type Cohen-Grossberg neural networks.The discussion of inertia term and finite time synchronization is different from the reduced-order method and finite-time stability theory used in the existing literature.Finally,the correctness of the results is verified by numerical example.
作者
叶宜豪
江明辉
胡军浩
YE Yihao;JIANG Minghui;HU Junhao(College of Science,China Three Gorges University,Yichang Hubei 443000,China;College of Mathematics and Statistics,South-Central Minzu University,Wuhan Hubei 430074,China)
出处
《阜阳师范大学学报（自然科学版）》
2023年第3期47-53,共7页
Journal of Fuyang Normal University:Natural Science
基金
国家自然科学基金项目(61876192)
中央高校基本科研业务费专项资金项目(CZT20020)资助。
关键词
模糊惯性神经网络
有限时间同步
混合时滞
自适应控制
fuzzy inertial neural networks
finite-time synchronization
maximum-value approach
adaptive control
