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Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay
Joint Authors
Tsai, Hsun-Heng
Lu, Chien-Yu
Liao, Chin-Wen
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-10-19
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRNNs) with norm-bounded time-varying parameter uncertainties and interval time-varying delay.
The activation functions are assumed to be globally Lipschitz continuous.
Based on an appropriate type of Lyapunov functional, sufficient passivity conditions for the DRNNs are derived in terms of a family of linear matrix inequalities (LMIs).
Two numerical examples are given to illustrate the effectiveness and applicability.
American Psychological Association (APA)
Lu, Chien-Yu& Liao, Chin-Wen& Tsai, Hsun-Heng. 2009. Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay. Discrete Dynamics in Nature and Society،Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-471637
Modern Language Association (MLA)
Lu, Chien-Yu…[et al.]. Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay. Discrete Dynamics in Nature and Society No. 2009 (2009), pp.1-14.
https://search.emarefa.net/detail/BIM-471637
American Medical Association (AMA)
Lu, Chien-Yu& Liao, Chin-Wen& Tsai, Hsun-Heng. Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay. Discrete Dynamics in Nature and Society. 2009. Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-471637
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471637