DocumentCode
2840377
Title
Exponential Robust Stability of Cellular Neural Networks
Author
Wang Chunmei ; Wu Xue ; Zhen Ran
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CISE.2009.5364730
Filename
5364730
Link To Document