robust exponential stabilization of stochastic delay interval recurrent neural networks with distributed parameters and markovian jumping by using periodically intermittent control
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ID: 207563
2014
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Abstract
We consider a class of stochastic delay recurrent neural networks with
distributed parameters and Markovian jumping. It is assumed that the coefficients in
these neural networks belong to the interval matrices. Several sufficient conditions
ensuring robust exponential stabilization are derived by using periodically intermittent control and Lyapunov functional. The obtained results are very easy to verify
and implement, and improve the existing results. Finally, an example with numerical
simulations is given to illustrate the presented criteria.
| Reference Key |
hu2014abstractrobust
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|---|---|
| Authors | ;Junhao Hu;Yunjian Peng;Yan Li |
| Journal | science and technology of advanced materials |
| Year | 2014 |
| DOI |
10.1155/2014/842976
|
| URL | |
| Keywords |
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