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Global Robust Attractive and Invariant Sets of Fuzzy Neural Networks with Delays and Impulses
Joint Authors
Zhao, Kaihong
Liu, Juqing
Wang, Liwenjing
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A class of fuzzy neural networks (FNNs) with time-varying delays and impulses is investigated.
With removing some restrictions on the amplification functions, a new differential inequality is established, which improves previouse criteria.
Applying this differential inequality, a series of new and useful criteria are obtained to ensure the existence of global robust attracting and invariant sets for FNNs with time-varying delays and impulses.
Our main results allow much broader application for fuzzy and impulsive neural networks with or without delays.
An example is given to illustrate the effectiveness of our results.
American Psychological Association (APA)
Zhao, Kaihong& Wang, Liwenjing& Liu, Juqing. 2013. Global Robust Attractive and Invariant Sets of Fuzzy Neural Networks with Delays and Impulses. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509495
Modern Language Association (MLA)
Zhao, Kaihong…[et al.]. Global Robust Attractive and Invariant Sets of Fuzzy Neural Networks with Delays and Impulses. Journal of Applied Mathematics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-509495
American Medical Association (AMA)
Zhao, Kaihong& Wang, Liwenjing& Liu, Juqing. Global Robust Attractive and Invariant Sets of Fuzzy Neural Networks with Delays and Impulses. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509495