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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770859
