Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1706141 | Applied Mathematical Modelling | 2008 | 8 Pages |
Abstract
By constructing suitable Lyapunov functional and using matrix theory, the global asymptotic stability of delay bi-directional associative memory neural networks with impulses are studied. This paper gives a sufficient condition which is independent with the delayed quantity for the global asymptotic stability of the neural networks. An illustrative example is given to validate the effectiveness of the obtained results.
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Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Xuyang Lou, Baotong Cui,