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Lag Synchronization Criteria for Memristor-Based Coupled Neural Networks via Parameter Mismatches Analysis Approach  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Lag Synchronization Criteria for Memristor-Based Coupled Neural Networks via Parameter Mismatches Analysis Approach

作者:Li, Ning[1];Cao, Jinde[2,3,4];Alsaedi, Ahmed[5];Alsaadi, Fuad[6]

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, Sch Math, Nanjing 210096, Jiangsu, Peoples R China;[3]Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China;[4]King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah 21589, Saudi Arabia;[5]King Abdulaziz Univ, Nonlinear Anal & Appl Math Res Grp, Fac Sci, Jeddah 21589, Saudi Arabia;[6]King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21589, Saudi Arabia

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;

年份:2017

卷号:29

期号:6

起止页码:1721-1744

外文期刊名:NEURAL COMPUTATION

收录:;EI(收录号:20172203706889);Scopus(收录号:2-s2.0-85019892714);WOS:【SCI-EXPANDED(收录号:WOS:000401976000010)】;

基金:This work was jointly supported by the National Natural Science Foundation of China under grants 61573096, 61603125, 61640315, and 61573189; the 333 Engineering Foundation of Jiangsu Province of China under grant BRA2015286; and the Key Program of Higher Education of He'nan Province under grant 17A120001.

语种:英文

外文关键词:Memristors - Synchronization

摘要:This letter focuses on lag synchronization control analysis for memristor-based coupled neural networks with parameter mismatches. Due to the parameter mismatches, lag complete synchronization in general cannot be achieved. First, based on the -measure method, generalized Halanay inequality, together with control algorithms, some sufficient conditions are obtained to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error. Moreover, the error level is estimated. Second, we show that memristor-based coupled neural networks with parameter mismatches can reach lag complete synchronization under a discontinuous controller. Finally, two examples are given to illustrate the effectiveness of the proposed criteria and well support theoretical results.

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