Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations.
By using Lyapunov functions and Razumikhin techniques, some easy-to-test criteria of the stability are derived.
Two examples are provided to illustrate the efficiency of the results.
American Psychological Association (APA)
Lu, Chunge& Wang, Linshan. 2014. Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014865
Modern Language Association (MLA)
Lu, Chunge& Wang, Linshan. Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1014865
American Medical Association (AMA)
Lu, Chunge& Wang, Linshan. Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014865
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014865
