GLOBAL EXPONENTIAL STABILITY OF HIGH-ORDER BAM NEURAL NETWORKS WITH REACTION–DIFFUSION TERMS
2010 ◽
Vol 20
(10)
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pp. 3209-3223
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Keyword(s):
The global exponential stability is studied for a class of high-order bi-directional associative memory (BAM) neural networks with time delays and reaction–diffusion terms. By constructing suitable Lyapunov functional, using differential mean value theorem and homeomorphism, several sufficient conditions guaranteeing the existence, uniqueness and global exponential stability of high-order BAM neural networks with time delays and reaction–diffusion terms are given. Two illustrative examples are also given in the end to show the effectiveness of our results.
2006 ◽
pp. 377-384
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2018 ◽
Vol 29
(8)
◽
pp. 3682-3700
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2008 ◽
Vol 36
(4)
◽
pp. 1044-1054
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2007 ◽
Vol 17
(01)
◽
pp. 129-142
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