DocumentCode
1563309
Title
Analysis of global exponential stability for a class of bidirectional associative memory networks
Author
Wan, Hongxia ; He, Chen ; Yu, Juebang
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., China
Volume
5
fYear
2003
Abstract
In real-time applications of bi-directional associative memory (BAM) networks, a global exponential stable equilibrium is highly desired. The existence, uniqueness and global exponential stability for a class of BAM networks are studied in the present paper, the signal function of neurons is assumed to be piece-wise linear from the engineering point of view. A very concise condition for an equilibrium of such network being global exponential stable is derived, which makes the practical design of this kind of network an easy job.
Keywords
asymptotic stability; content-addressable storage; piecewise linear techniques; BAM; bidirectional associative memory networks; global exponential stability; piece-wise linear; signal function; uniqueness; Associative memory; Bidirectional control; Bismuth; Circuits; Erbium; Magnesium compounds; Neural networks; Neurons; Piecewise linear techniques; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN
0-7803-7761-3
Type
conf
DOI
10.1109/ISCAS.2003.1206402
Filename
1206402
Link To Document