Title :
Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays
Author :
Cui, Jinzhong ; Luo, Mengzhuo ; Zhong, Shouming
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust global asymptotic stability in mean square of an equilibrium solution are given. One example is also given to demonstrate our results.
Keywords :
asymptotic stability; discrete time systems; mean square error methods; neural nets; stochastic processes; delay-dependent robust global asymptotic stability; discrete-time delays; stochastic neural networks; unbounded distributed delays; Asymptotic stability; Computer networks; Distributed computing; Electronic mail; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Stochastic processes; Uncertain systems; LMI; Stochastic neural networks; robust global asymptotic stability; unbounded distributed delays;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.164
