Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays
Joint Authors
Xu, Xiaohui
Yang, Jibin
Xu, Yanhai
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-20
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
This paper investigates the mean square exponential stability problem of a class of complex-valued neural networks with stochastic disturbance and mixed delays including both time-varying delays and continuously distributed delays.
Under different assumption conditions concerning stochastic disturbance term from the existing ones, some sufficient conditions are derived for assuring the mean square exponential stability of the equilibrium point of the system based on the vector Lyapunov function method and Ito^ differential-integral theorem.
The obtained results not only generalize the existing ones, but also reduce the conservatism of the previous stability results about complex-valued neural networks with stochastic disturbances.
Two numerical examples with simulation results are given to verify the feasibility of the proposed results.
American Psychological Association (APA)
Xu, Xiaohui& Yang, Jibin& Xu, Yanhai. 2019. Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays. Complexity،Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1131407
Modern Language Association (MLA)
Xu, Xiaohui…[et al.]. Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays. Complexity No. 2019 (2019), pp.1-20.
https://search.emarefa.net/detail/BIM-1131407
American Medical Association (AMA)
Xu, Xiaohui& Yang, Jibin& Xu, Yanhai. Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays. Complexity. 2019. Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1131407
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131407