DocumentCode
478002
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
Volume
1
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
111
Lastpage
114
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.537
Filename
4666821
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