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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.97
