Title :
Stability of Cellular Neural Networks with Time Varying Delay
Author :
Wang, Pu ; Wu, Xueli ; Zhen, Ran ; Wang, Yanhong
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
In this note, the global asymptotic stability of a class of delayed cellular neural networks is studied. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality (LMI). A numerical example is presented to illustrate the effectiveness of our theoretical results.
Keywords :
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; time-varying systems; delayed cellular neural networks; global asymptotic stability; linear matrix inequality; time varying delay; Asymptotic stability; Cellular neural networks; Computer networks; Delay effects; Guidelines; Linear matrix inequalities; Radio access networks; Stability criteria; Sufficient conditions; Time varying systems;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.537
