Robust Stability Analysis of Fuzzy Neural Network with Delays
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We investigate local robust stability of fuzzy neural networks (FNNs) with time-varying and S-type distributed delays.
We derive some sufficient conditions for local robust stability of equilibrium points and estimate attracting domains of equilibrium points except unstable equilibrium points.
Our results not only show local robust stability of equilibrium points but also allow much broader application for fuzzy neural network with or without delays.
An example is given to illustrate the effectiveness of our results.
American Psychological Association (APA)
Zhao, Kaihong& Li, Yongkun. 2010. Robust Stability Analysis of Fuzzy Neural Network with Delays. Mathematical Problems in Engineering،Vol. 2009, no. 2009, pp.1-13.
https://search.emarefa.net/detail/BIM-501269
Modern Language Association (MLA)
Zhao, Kaihong& Li, Yongkun. Robust Stability Analysis of Fuzzy Neural Network with Delays. Mathematical Problems in Engineering No. 2009 (2009), pp.1-13.
https://search.emarefa.net/detail/BIM-501269
American Medical Association (AMA)
Zhao, Kaihong& Li, Yongkun. Robust Stability Analysis of Fuzzy Neural Network with Delays. Mathematical Problems in Engineering. 2010. Vol. 2009, no. 2009, pp.1-13.
https://search.emarefa.net/detail/BIM-501269
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501269