Exponential Stabilization of Time-Delayed Systems with Markovian Jumping

Author(s):  
Shuping He
2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Junhao Hu ◽  
Yunjian Peng ◽  
Yan Li

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.


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