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Robust stability of delayed fuzzy Cohen–Grossberg neural networks

Authors :
Huang, Tingwen
Source :
Computers & Mathematics with Applications. Apr2011, Vol. 61 Issue 8, p2247-2250. 4p.
Publication Year :
2011

Abstract

Abstract: In this paper, using a linear matrix inequality and a differential inequality, we obtain an exponentially robust stability criterion for interval fuzzy Cohen–Grossberg type neural networks with time-varying delays. The criterion can be easily applied to the design of fuzzy general neural networks. [Copyright &y& Elsevier]

Subjects

Subjects :
*ARTIFICIAL neural networks
*ROBUST control
*FUZZY logic
*MATRIX inequalities
*TIME delay systems
*MATHEMATICAL optimization

Details

Language :
English
ISSN :
08981221
Volume :
61
Issue :
8
Database :
Academic Search Index
Journal :
Computers & Mathematics with Applications
Publication Type :
Academic Journal
Accession number :
59943733
Full Text :
https://doi.org/10.1016/j.camwa.2010.09.037
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