Title :
Exponential Robust Stability of Cellular Neural Networks
Author :
Wang Chunmei ; Wu Xue ; Zhen Ran
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; time-varying systems; LMI; Lyapunov function; cellular neural networks; delay-dependent exponential stability conditions; exponential robust stability; linear matrix inequality; time-varying delay; Cellular neural networks; Delay effects; Image processing; Linear matrix inequalities; Lyapunov method; Neurons; Robust stability; Stability criteria; Sufficient conditions; Uncertainty;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364730
