Title :
Robust Exponential Stability Analysis for Unertain Neural Networks with Time Delay
Author :
Tang, Xinhuai ; Xie, Li
Author_Institution :
Sch. of Software, Shanghai Jiaotong Univ., Shanghai, China
Abstract :
The robust exponential stability of uncertain neural networks with time delay is analyzed based on Lyapunov stability theory. The nonlinear uncertain perturbation in the neural networks satisfies the cone bounded condition. By choosing suitable Lyapunov functional, several sufficient conditions on robust stability and robust exponential stability of uncertain neural networks with time delays are given. All the stable criteria in this paper are presented in terms of linear matrix inequality.
Keywords :
Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neural nets; Lyapunov functional; Lyapunov stability theory; linear matrix inequality; nonlinear uncertain perturbation; robust exponential stability analysis; time delay; uncertain neural networks; Computational intelligence; Delay effects; Intelligent networks; Linear matrix inequalities; Lyapunov method; Neural networks; Neurons; Robust stability; Stability analysis; Sufficient conditions; linear matrix inequality; nonlinear perturbation; robust exponential stability; time delay; uncertain neural networks;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.483
