中国物理B ›› 2003, Vol. 12 ›› Issue (3): 259-263.doi: 10.1088/1009-1963/12/3/303
王宏霞, 何晨
收稿日期:
2002-09-16
修回日期:
2002-11-26
出版日期:
2005-03-16
发布日期:
2005-03-16
基金资助:
Wang Hong-Xia (王宏霞), He Chen (何晨)
Received:
2002-09-16
Revised:
2002-11-26
Online:
2005-03-16
Published:
2005-03-16
Supported by:
摘要: In real-time applications of bi-directional associative memory (BAM) networks, a global exponentially stable equilibrium is highly desired. The existence, uniqueness and global exponential stability for a class of BAM networks are studied in this paper, the signal function of neurons is assumed to be piece-wise linear from the engineering point of view. A very concise condition for the equilibrium of such a network being globally exponentially stable is derived, which makes the practical design of this kind of networks an easy job.
中图分类号: (Nonlinear dynamics and chaos)
王宏霞, 何晨. Analysis of global exponential stability for a class of bi-directional associative memory networks[J]. 中国物理B, 2003, 12(3): 259-263.
Wang Hong-Xia (王宏霞), He Chen (何晨). Analysis of global exponential stability for a class of bi-directional associative memory networks[J]. Chinese Physics, 2003, 12(3): 259-263.
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