Stochastic Synchronization of Neutral-Type Neural Networks with Multidelays Based on M-Matrix
The problem of stochastic synchronization of neutral-type neural networks with multidelays based on M-matrix is researched. Firstly, we designed a control law of stochastic synchronization of the neural-type and multiple time-delays neural network. Secondly, by making use of Lyapunov functional and...
| Published in: | Discrete Dynamics in Nature and Society |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Online Access: | http://dx.doi.org/10.1155/2015/826810 |
| Summary: | The problem of stochastic synchronization
of neutral-type neural networks with multidelays based on
M-matrix is researched. Firstly, we designed a control law of
stochastic synchronization of the neural-type and multiple time-delays
neural network. Secondly, by making use of Lyapunov
functional and M-matrix method, we obtained a criterion under
which the drive and response neutral-type multiple time-delays
neural networks with stochastic disturbance and Markovian
switching are stochastic synchronization. The synchronization
condition is expressed as linear matrix inequality which can
be easily solved by MATLAB. Finally, we introduced a numerical
example to illustrate the effectiveness of the method and result
obtained in this paper. |
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| ISSN: | 1026-0226 1607-887X |