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Analysis of global exponential stability for a class of bidirectional associative memory networks

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3 Author(s)
Hongxia Wang ; Dept. of Electron. Eng., Shanghai Jiao Tong Univ., China ; Chen He ; Juebang Yu

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.

Published in:

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on  (Volume:5 )

Date of Conference:

25-28 May 2003