Title :
Global asymptotic stability of delayed cellular neural networks
Author :
Chao, Wang ; Qiang, Zhang ; Runnian, Ma ; Jin, Xu
Author_Institution :
Inst. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
In this paper, a new sufficient condition is presented ensuring global asymptotic stability of delayed cellular neural networks by using some inequality analysis techniques. This condition is compared with the previous results established in the literature.
Keywords :
asymptotic stability; cellular neural nets; delayed cellular neural networks; global asymptotic stability; inequality analysis; Asymptotic stability; Cellular neural networks; Chaos; Delay effects; Image recognition; Land mobile radio cellular systems; Pattern recognition; Piecewise linear techniques; Stability analysis; Sufficient conditions;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1181353
