Title :
Exponential Stability of Cellular Neural Networks with Time-varying Delay
Author :
Wu, Xueli ; Meng, Xiangting ; Lv, Xuan
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
A novel method is proposed in this note for exponential stability of cellular neural networks with time-varying delay. New delay-dependent exponential stability conditions of cellular neural network with time-varying delay is presented by constructing Lyapunov function and using linear matrix inequality (LMI). Finally, a numerical example is given to demonstrate the effect of the proposed method.
Keywords :
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; Lyapunov function; cellular neural network; delay-dependent exponential stability; linear matrix inequality; time-varying delay; Cellular neural networks; Delay effects; Intelligent networks; Intelligent systems; Linear matrix inequalities; Neural networks; Stability criteria; State feedback; Sufficient conditions; Uncertainty; exponential stability; neural network;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.448
