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Dynamical analysis of fuzzy cellular neural networks with periodic coefficients and time-varying delays

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成果类型:
期刊论文
作者:
Liu, Jingzhong;Zhang, Qianhong;Luo, Zhenguo
通讯作者:
Zhang, Qianhong(zqianhong68@163.com)
作者机构:
[Liu, Jingzhong] School of Mathematics Physics and Energy Engineering, Hunan Institute of Technology, Hengyang, Hunan
421002, China
[Zhang, Qianhong] School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou
550025, China
[Luo, Zhenguo] School of Mathematics and Statistics, Hengyang Normal University, Hengyang, Hunan
通讯机构:
[Zhang, Q.] S
School of Mathematics and Statistics, China
语种:
英文
关键词:
Fuzzy cellular neural networks;Global exponential stability;Periodic solution;Time-varying delays
期刊:
IAENG International Journal of Applied Mathematics
ISSN:
1992-9978
年:
2016
卷:
46
期:
3
页码:
298-304
基金类别:
The authors would like to thank the editor and anonymous reviewers for their helpful comments and valuable suggestions, which have greatly improved the quality of this paper. This work was financially supported by the National Natural Science Foundation of China (Grant No. 11361012), the China Postdoctoral Science Foundation(No.2013T60934), the Scientific Research Foundation of Guizhou Provincial Science and Technology Department([2013]J2083), and "125" Science and Technology Grand Project Sponsored by the Department of Education of Guizhou Province ([2012]011).
机构署名:
本校为其他机构
院系归属:
数学与统计学院
摘要:
By employing continuation theorem of the coincidence degree, and inequality technique, some sufficient conditions are established for the existence of periodic solution and global exponential stability of fuzzy cellular neural networks with time-varying delays. These results have important leading significance in the design and applications of globally stable neural networks. Moreover an example is given to illustrate t...

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