Title :
Global robust stability analysis for uncertain stochastic neural networks of neutral-type with time-varying delays
Author :
Yi, Tang ; Liu, Guoquan ; Liu, Yubin ; Wang, Runhua
Abstract :
In this paper, by employing the Lyapunov-Krasovskii functional method, we investigate the global robust stability analysis problem for uncertain stochastic neural networks of neutral-type with time-varying delays. A new stability criterion is proposed in terms of linear matrix inequality (LMI). An example is given to show the effectiveness of the obtained results using LMI control toolbox in MATLAB.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; robust control; stochastic systems; LMI control toolbox; Lyapunov-Krasovskii functional method; MATLAB; global robust stability analysis; linear matrix inequality; stability criterion; time-varying delays; uncertain stochastic neural networks; Artificial neural networks; Delay; Linear matrix inequalities; Robust stability; Stability criteria; Symmetric matrices; global robust stability; lyapunov-krasovskii functional; neutral-type; uncertain stochastic neural networks;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777859
