Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays
Joint Authors
Liu, Xiaohui
Zhao, Zhenjiang
Song, Qiankun
Chen, Xiaofeng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The complex-valued neural networks with unbounded time-varying delays are considered.
By constructing appropriate Lyapunov-Krasovskii functionals, and employing the free weighting matrix method, several delay-dependent criteria for checking the global μ-stability of the addressed complex-valued neural networks are established in linear matrix inequality (LMI), which can be checked numerically using the effective LMI toolbox in MATLAB.
Two examples with simulations are given to show the effectiveness and less conservatism of the proposed criteria.
American Psychological Association (APA)
Chen, Xiaofeng& Song, Qiankun& Liu, Xiaohui& Zhao, Zhenjiang. 2014. Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1033645
Modern Language Association (MLA)
Chen, Xiaofeng…[et al.]. Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1033645
American Medical Association (AMA)
Chen, Xiaofeng& Song, Qiankun& Liu, Xiaohui& Zhao, Zhenjiang. Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1033645
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033645
