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State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays
Joint Authors
Chen, Zeng-Shun
Liang, Jing
Song, Qiankun
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The state estimation problem is investigated for neural networks with leakage delay and time-varying delay as well as for general activation functions.
By constructing appropriate Lyapunov-Krasovskii functionals and employing matrix inequality techniques, a delay-dependent linear matrix inequalities (LMIs) condition is developed to estimate the neuron state with some observed output measurements such that the error-state system is globally asymptotically stable.
An example is given to show the effectiveness of the proposed criterion.
American Psychological Association (APA)
Liang, Jing& Chen, Zeng-Shun& Song, Qiankun. 2013. State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-460672
Modern Language Association (MLA)
Liang, Jing…[et al.]. State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-460672
American Medical Association (AMA)
Liang, Jing& Chen, Zeng-Shun& Song, Qiankun. State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-460672
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460672