Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays
Joint Authors
Zhu, Qing
Yang, Yuequan
Cao, Zhiqiang
Fei, Shumin
Song, Aiguo
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Synchronization control of stochastic neural networks with time-varying discrete and continuous delays has been investigated.
A novel control scheme is proposed using the Lyapunov functional method and linear matrix inequality (LMI) approach.
Sufficient conditions have been derived to ensure the global asymptotical mean-square stability for the error system, and thus the drive system synchronizes with the response system.
Also, the control gain matrix can be obtained.
With these effective methods, synchronization can be achieved.
Simulation results are presented to show the effectiveness of the theoretical results.
American Psychological Association (APA)
Zhu, Qing& Song, Aiguo& Fei, Shumin& Yang, Yuequan& Cao, Zhiqiang. 2014. Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051288
Modern Language Association (MLA)
Zhu, Qing…[et al.]. Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051288
American Medical Association (AMA)
Zhu, Qing& Song, Aiguo& Fei, Shumin& Yang, Yuequan& Cao, Zhiqiang. Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051288
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051288
