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Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays
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
2010-03-18
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The problems on global dissipativity and global exponential dissipativity are investigated for uncertain discrete-time neural networks with time-varying delays and general activation functions.
By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality technique, several new delay-dependent criteria for checking the global dissipativity and global exponential dissipativity of the addressed neural networks are established in linear matrix inequality (LMI), which can be checked numerically using the effective LMI toolbox in MATLAB.
Illustrated examples are given to show the effectiveness of the proposed criteria.
It is noteworthy that because neither model transformation nor free-weighting matrices are employed to deal with cross terms in the derivation of the dissipativity criteria, the obtained results are less conservative and more computationally efficient.
American Psychological Association (APA)
Song, Qiankun& Cao, Jinde. 2010. Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society،Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-499907
Modern Language Association (MLA)
Song, Qiankun& Cao, Jinde. Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society No. 2010 (2010), pp.1-19.
https://search.emarefa.net/detail/BIM-499907
American Medical Association (AMA)
Song, Qiankun& Cao, Jinde. Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society. 2010. Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-499907
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499907