滞后
同步(交流)
计算机科学
人工神经网络
衍生工具(金融)
扩散
国家(计算机科学)
算法
可缩放矢量图形
人工智能
电信
操作系统
热力学
经济
金融经济学
物理
频道(广播)
计算机网络
作者
Lu Wang,Yougang Bian,Zhenyuan Guo,Manjiang Hu
标识
DOI:10.1016/j.neunet.2022.09.030
摘要
This paper mainly attempts to discuss lag H∞ synchronization in multiple state or derivative coupled reaction–diffusion neural networks without and with parameter uncertainties. Firstly, we respectively propose two types of reaction–diffusion neural networks with multiple state and derivative couplings subject to parameter uncertainties. Secondly, by exploiting designed state feedback controllers, several criteria of the lag H∞ synchronization for these two networks are developed based on Lyapunov functional and inequality techniques. Thirdly, lag H∞ synchronization issues of these two networks are also coped with by virtue of devised adaptive control strategies. Finally, we provide two numerical examples to verify the obtained lag H∞ synchronization criteria.
科研通智能强力驱动
Strongly Powered by AbleSci AI