Title :
Robust stability criterion for uncertain neural networks with time delay
Author :
Yongfeng, Su ; Yali, Dong ; Jun, Wei
Author_Institution :
Sch. of Sci., Tianjin Polytech. Univ., Tianjin, China
Abstract :
In this paper, robust stability criterion for uncertain neural networks with time delays is investigated. Firstly, based on Lyapunov-Krasovskii functional method, the sufficient conditions for asymptotical stability of a class of neural networks are present. Then, a new delay-dependent robust stability criterion is given in forms of linear matrix inequalities technique. Finally, a numerical example is given to illustrate the effectiveness of our result.
Keywords :
Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neural nets; stability criteria; uncertain systems; Lyapunov-Krasovskii functional method; asymptotical stability; delay-dependent robust stability criterion; linear matrix inequalities; sufficient conditions; time delay; uncertain neural networks; Asymptotic stability; Biological neural networks; Numerical stability; Robust stability; Stability criteria; Symmetric matrices; Lyapunov-Krasovskii functional; Robust stability; Time delay; Uncertain neural networks;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
