Exponential Synchronization of Switched Cellular Neural Networks via AED-ADT Switching
作者单位：School of Computing ScienceQufu Normal University School of EngineeringQufu Normal University College of Electrical Information EngineeringZhengzhou University of Light Industry
会议名称：《第40届中国控制会议》
会议日期：2021年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Exponential synchronization switched cellular neural networks admissible edge-dependent average dwell time
摘 要：This paper analyses the synchronization problem of switched cellular neural networks. The admissible edge-dependent average dwell time method is used to design switching signals. By virtue of the multiple Lyapunov function technology and Newton-Leibniz formula, a sufficient condition is established to guarantee the exponential synchronization of switched cellular neural networks. Finally, a numerical example is employed to verify the effectiveness of proposed methods.