DocumentCode
527556
Title
Existence and global exponential stability of periodic solutions of cellular neural networks with time-varying delays and impulses
Author
Wu, Chunxue ; Shi, Bao
Author_Institution
Inst. of Appl. Math., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Volume
2
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
777
Lastpage
781
Abstract
By using the continuation theorem of Mawhin´s coincidence degree theory and constructing Lyapunov functions, sufficient conditions are obtained for the existence and globally exponential stability of periodic solution of cellular neural networks with variable delays and impulses.
Keywords
Lyapunov methods; asymptotic stability; cellular neural nets; continuous systems; delays; time-varying systems; Lyapunov functions; Mawhin coincidence degree theory; cellular neural network; continuation theorem; global exponential stability; time varying delay; Artificial neural networks; Cellular neural networks; Circuit stability; Delay; Equations; Indexes; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583202
Filename
5583202
Link To Document