Improved Criteria on Delay-Dependent Stability for Discrete-Time Neural Networks with Interval Time-Varying Delays
Joint Authors
Park, M. J.
Kwon, O. M.
Park, Juhyun
Lee, S. M.
Cha, E. J.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-05
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The purpose of this paper is to investigate the delay-dependent stability analysis for discrete-time neural networks with interval time-varying delays.
Based on Lyapunov method, improved delay-dependent criteria for the stability of the networks are derived in terms of linear matrix inequalities (LMIs) by constructing a suitable Lyapunov-Krasovskii functional and utilizing reciprocally convex approach.
Also, a new activation condition which has not been considered in the literature is proposed and utilized for derivation of stability criteria.
Two numerical examples are given to illustrate the effectiveness of the proposed method.
American Psychological Association (APA)
Kwon, O. M.& Park, M. J.& Park, Juhyun& Lee, S. M.& Cha, E. J.. 2012. Improved Criteria on Delay-Dependent Stability for Discrete-Time Neural Networks with Interval Time-Varying Delays. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-460422
Modern Language Association (MLA)
Kwon, O. M.…[et al.]. Improved Criteria on Delay-Dependent Stability for Discrete-Time Neural Networks with Interval Time-Varying Delays. Abstract and Applied Analysis No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-460422
American Medical Association (AMA)
Kwon, O. M.& Park, M. J.& Park, Juhyun& Lee, S. M.& Cha, E. J.. Improved Criteria on Delay-Dependent Stability for Discrete-Time Neural Networks with Interval Time-Varying Delays. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-460422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460422