Title :
A Novel Criterion for Robust Stability of Stochastic Bidirectional Associative Memory Neural Networks with Time Delays
Author :
Kan, Xiu ; Lv, Zengwei ; Shu, Huisheng
Author_Institution :
Coll. of Appl. Math., Donghua Univ., Shanghai, China
Abstract :
Based on the Lyapunov-Krasovskii functionals combined with linear matrix inequality approach, a novel stability criterion is proposed for asymptotic stability of uncertain stochastic bidirectional associative memory neural networks with time delays. A novel delay-dependent stability criterion is given in terms of linear matrix inequalities.
Keywords :
asymptotic stability; delays; linear matrix inequalities; neural nets; Lyapunov-Krasovskii functionals; linear matrix inequality; robust stability; stochastic bidirectional associative memory neural networks; time delays; Associative memory; Biological neural networks; Delay effects; Linear matrix inequalities; Magnesium compounds; Neural networks; Robust stability; Stability criteria; Stochastic processes; Symmetric matrices; Global robust stability; Linear matrix inequality; Lyapunov-Krasovskii functionals; Stochastic bidirectional associative memory neural networks; Stochastic systems; Time delays; Uncertain systems;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.300
