Title :
Stability Analysis for Cellular Neural Networks with Time-Varying Delay
Author :
Meng, Hua ; Li, Yang ; Wu, Xue-li ; Lv, Xuan
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
In this paper, the global stability is investigated for cellular neural networks with time-varying delays and uncertainty. Based on Lyapunov stability theory, the stability criterion is given in the form of LMI. The time delay dependent and independent results can be obtained. Finally, a numerical example is given to illustrate the effectiveness of the main results.
Keywords :
Lyapunov methods; cellular neural nets; delays; time-varying systems; uncertain systems; LMI; Lyapunov stability theory; cellular neural networks; global stability; stability analysis; time-varying delay; Asymptotic stability; Cellular neural networks; Delay effects; Equations; Linear matrix inequalities; Lyapunov method; Neural networks; Stability analysis; Stability criteria; 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.2009.5366266
