DocumentCode
921462
Title
A new parameter range for the stability of opposite-sign cellular neural networks
Author
Joy, Mark P. ; Tavsanoglu, Vedat
Author_Institution
Sch. of Electr., Electron. & Inf. Eng., South Bank Univ., London, UK
Volume
40
Issue
3
fYear
1993
fDate
3/1/1993 12:00:00 AM
Firstpage
204
Lastpage
207
Abstract
Complete stability of cellular neural networks and their associated dynamical system precludes the possibility of any periodic or chaotic behavior and is an important property to establish. The authors establish complete stability of the opposite-sign cellular neural network (CNN) provided that the template values fall within the range ( p -1)/2<s <p -1. The results reported extend the parameter range from previously known results
Keywords
chaos; neural nets; stability; chaotic behavior; dynamical system; opposite-sign cellular neural networks; parameter range; stability; template values; Cellular neural networks; Chaos; Circuit stability; Cloning; Equations; Feedback; Jacobian matrices; Lyapunov method; Signal processing; Vectors;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.222801
Filename
222801
Link To Document