Some stability criteria for cellular neural networks with sigmoidal nonlinearities

被引:1
作者
Perfetti, R [1 ]
机构
[1] Univ Perugia, Ist Elettr, I-06125 Perugia, Italy
关键词
D O I
10.1049/el:19990137
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Some sufficient conditions are presented concerning the stability of equilibrium points of cellular neural networks (CNNs) with continuously differentiable sigmoidal nonlinearities. This type of nonlinearity represents a more realistic model of analogue circuit implementation than the usual piecewise-linear function.
引用
收藏
页码:227 / 228
页数:2
相关论文
共 6 条
[1]  
[Anonymous], 1974, Differential Equations, Dynamical Systems, and Linear Algebra
[2]  
Arik S, 1996, INT J CIRC THEOR APP, V24, P269, DOI 10.1002/(SICI)1097-007X(199605/06)24:3<269::AID-CTA915>3.0.CO
[3]  
2-L
[4]   CELLULAR NEURAL NETWORKS - THEORY [J].
CHUA, LO ;
YANG, L .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1988, 35 (10) :1257-1272
[5]   Practical stability criteria for cellular neural networks [J].
Civalleri, PP ;
Gilli, M .
ELECTRONICS LETTERS, 1997, 33 (11) :970-971
[6]  
RALSTON A, 1965, 1ST COURSE NUMERICAL