DocumentCode
2985244
Title
Stability Analysis of Neutral-type Fuzzy Neural Networks with Distributed Delays
Author
Long, Shujun ; Jia, Liping
Author_Institution
Coll. of Math. & Inf. Sci., Leshan Normal Univ., Leshan, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
407
Lastpage
411
Abstract
In this paper, a class of neutral-type fuzzy neural networks with distributed delay is considered. By using the properties of M-matrix, a new differential-integro-difference inequality is established. Based on the inequality and by using the properties of fuzzy operator, we obtain the sufficient condition ensuring the exponential stability of the equilibrium point of the considered neural networks.
Keywords
asymptotic stability; delays; difference equations; fuzzy neural nets; integro-differential equations; matrix algebra; M-matrix properties; differential-integro-difference inequality; distributed delays; equilibrium point exponential stability; fuzzy operator; neutral-type fuzzy neural networks; stability analysis; Cellular neural networks; Delay; Educational institutions; Linear matrix inequalities; Stability analysis; Vectors; Differential-integro-difference inequality; Exponential stability; Fuzzy neural networks; Neutral-type;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.97
Filename
6128056
Link To Document