Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons

Chengjun Duan and Qiankun Song

Discrete Dynamics in Nature and Society, 2010, vol. 2010, 1-19

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.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:368379

DOI: 10.1155/2010/368379

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