LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper studies the problems of global exponential robust stability of high-order hopfield neural networks with time-varying delays.
By employing a new Lyapunov-Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high-order neural networks are established, which are easily verifiable and have a wider adaptive.
American Psychological Association (APA)
Wang, Yangfan& Wang, Linshan. 2012. LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-993015
Modern Language Association (MLA)
Wang, Yangfan& Wang, Linshan. LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. Journal of Applied Mathematics No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-993015
American Medical Association (AMA)
Wang, Yangfan& Wang, Linshan. LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-993015
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993015