文献类型：会议论文

英文题名：Finite-time synchronization criteria for delayed memristor-based neural networks

作者：Li, Ning[1];Cao, Jinde[2,3];Xiao, Huimin[4]

第一作者：李宁

通讯作者：Li, N[1]

机构：[1]Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China;[2]Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China;[3]Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China;[4]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450046, Henan, Peoples R China

第一机构：河南财经政法大学数学与信息科学学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China.|[1048425]河南财经政法大学数学与信息科学学院;[10484]河南财经政法大学;

会议论文集：35th Chinese Control Conference (CCC)

会议日期：JUL 27-29, 2016

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

外文关键词：Finite-time; Synchronization; Memristor-based neural networks

摘要：This paper consider the synchronization problem of drive-response memristor-based neural networks(MNNs) with time delay in a setting time. Since the model parameters depend on networks's state, drive-response system can be seen as the system with parameter mismatches. By using suitable Lyapunov function, designing discontinuous controller, without using existing finite-time stability theorem, finite-time synchronization criteria for delayed memristor-based neural networks are derived. Finally, an illustrative example demonstrates the effectiveness of theoretical results.