boundedness and stability for discrete-time delayed neural network with complex-valued linear threshold neurons
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ID: 215689
2010
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Abstract
The discrete-time delayed neural network with complex-valued linear threshold neurons is considered. By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality technique and analysis method, several new delay-dependent criteria for checking the boundedness and global exponential stability are established. Illustrated examples are also given to show the effectiveness and less conservatism of the proposed criteria.
| Reference Key |
duan2010discreteboundedness
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|---|---|
| Authors | ;Chengjun Duan;Qiankun Song |
| Journal | Journal of the American Heart Association |
| Year | 2010 |
| DOI |
10.1155/2010/368379
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| URL | |
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