Title :
Global robust criteria for stochastic neutral neural networks with uncertainties and unbounded distributed delay
Author :
Liu, Guoquan ; Yang, Simon X.
Author_Institution :
Coll. of Autom., Chongqing Univ., Chongqing, China
Abstract :
The problem of global robust stability analysis is studied for a class of stochastic neutral neural networks with uncertainties and unbounded distributed delay. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the Lyapunov-Krasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show the effectiveness of the obtained conditions.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; robust control; stability criteria; stochastic systems; Lyapunov-Krasovskii functional method; free-weighting matrices technique; global robust criteria; global robust stability analysis; linear matrix inequality; stability criteria; stochastic neutral neural networks; unbounded distributed delay; Artificial neural networks; Delay; Robustness; Stability criteria; Symmetric matrices; TV; global robust; lyapunov-krasovskii functional; stochastic neutral neral networks; unbounded distributed delays; uncertainties;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2011 IEEE International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-61284-910-2
DOI :
10.1109/CYBER.2011.6011808
