DocumentCode
2871072
Title
The upper limit of the stability of delay-type cellular neural networks
Author
Daming, Zhu ; Shaohan, Ma ; Mingyan, Jiang
Author_Institution
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1306
Abstract
This paper gives an improved sufficient condition of ensuring the stability of delayed cellular neural networks (DCNN) by means of the analysis of a correspondent Lyapunov function. This result improved the limit given by Civalleri and gives an optional upper limit of the stability of DCNN
Keywords
cellular neural nets; stability; correspondent Lyapunov function; delay-type cellular neural networks; delayed cellular neural networks; optional upper limit; upper stability limit; Cellular neural networks; Cloning; Computed tomography; Delay; Equations; Signal processing; Stability; State-space methods; Sufficient conditions; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770859
Filename
770859
Link To Document