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Exponential stability of stochastic cellular neural networks with mixed delays
Xiaofei Li1,2; Deng Ding2; Di Sang2
2018-04-18
Source PublicationCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN0361-0926
Volume47Issue:19Pages:4881-4894
Abstract

In this paper, almost sure exponential stability and pth moment exponential stability of stochastic cellular neural networks with mixed delays are investigated. Employing the methods of stochastic analysis, the Lyapunov’s method, and useful inequality techniques, a sufficient condition ensuring the almost sure exponential stability and pth moment exponential stability is obtained. Two examples are given to illustrate this sufficient condition.

KeywordAlmost Sure Exponential Stability Delays Inequality Techniques Pth Moment Exponential Stability Stochastic Cellular Neural Networks
DOI10.1080/03610926.2018.1459710
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000444437300016
Scopus ID2-s2.0-85045650853
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Document TypeJournal article
CollectionUniversity of Macau
Personal research not belonging to the institution
Affiliation1.School of Information and Mathematics,Yangtze University, Jingzhou,China
2.Department of Mathematics,University of Macau,Macao,China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xiaofei Li,Deng Ding,Di Sang. Exponential stability of stochastic cellular neural networks with mixed delays[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2018, 47(19), 4881-4894.
APA Xiaofei Li., Deng Ding., & Di Sang (2018). Exponential stability of stochastic cellular neural networks with mixed delays. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 47(19), 4881-4894.
MLA Xiaofei Li,et al."Exponential stability of stochastic cellular neural networks with mixed delays".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 47.19(2018):4881-4894.
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