DocumentCode
3110509
Title
Global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays
Author
Zhu, Chongjun ; Bao, Gang
Author_Institution
Coll. of Math. & Stat., Hubei Normal Univ., Huangshi, China
fYear
2011
fDate
26-28 March 2011
Firstpage
964
Lastpage
967
Abstract
The global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays and Lipschitz continuous activation functions is investigated in this brief. Based on the concept of comparison, some novel sufficient conditions for the globally asymptotic stability of equilibria are given.
Keywords
asymptotic stability; cellular neural nets; delays; fuzzy control; Lipschitz continuous activation function; fuzzy cellular neural network; global asymptotic stability; unbounded time-varying delay; Artificial neural networks; Asymptotic stability; Cellular neural networks; Circuit stability; Circuits and systems; Delay; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9440-8
Type
conf
DOI
10.1109/ICIST.2011.5765133
Filename
5765133
Link To Document