Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-08-11
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The discrete-time delayed neural network with complex-valued linear threshold neurons is considered.
By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality technique and analysis method, several new delay-dependent criteria for checking the boundedness and global exponential stability are established.
Illustrated examples are also given to show the effectiveness and less conservatism of the proposed criteria.
American Psychological Association (APA)
Duan, Chengjun& Song, Qiankun. 2010. Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons. Discrete Dynamics in Nature and Society،Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-466448
Modern Language Association (MLA)
Duan, Chengjun& Song, Qiankun. Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons. Discrete Dynamics in Nature and Society No. 2010 (2010), pp.1-19.
https://search.emarefa.net/detail/BIM-466448
American Medical Association (AMA)
Duan, Chengjun& Song, Qiankun. Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons. Discrete Dynamics in Nature and Society. 2010. Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-466448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466448
