Analysis of Exponential Stability for Neutral Stochastic Cohen-Grossberg Neural Networks with Mixed Delays
Joint Authors
Xiong, Zuoliang
Yang, Tianqing
Yang, Cuiping
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-11
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper is concerned with the mean-square exponential input-to-state stability problem for a class of stochastic Cohen-Grossberg neural networks.
Different from prior works, neutral terms and mixed delays are discussed in our system.
By employing the Lyapunov-Krasovskii functional method, Itô formula, Dynkin formula, and stochastic analysis theory, we obtain some novel sufficient conditions to ensure that the addressed system is mean-square exponentially input-to-state stable.
Moreover, two numerical examples and their simulations are given to illustrate the correctness of the theoretical results.
American Psychological Association (APA)
Yang, Tianqing& Xiong, Zuoliang& Yang, Cuiping. 2019. Analysis of Exponential Stability for Neutral Stochastic Cohen-Grossberg Neural Networks with Mixed Delays. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1146402
Modern Language Association (MLA)
Yang, Tianqing…[et al.]. Analysis of Exponential Stability for Neutral Stochastic Cohen-Grossberg Neural Networks with Mixed Delays. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1146402
American Medical Association (AMA)
Yang, Tianqing& Xiong, Zuoliang& Yang, Cuiping. Analysis of Exponential Stability for Neutral Stochastic Cohen-Grossberg Neural Networks with Mixed Delays. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1146402
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1146402
