Finite-time boundedness,L2-gain analysis and control of Markovian jump switched neural networks with additive time-varying delays

2017 ◽  
Vol 23 ◽  
pp. 27-43 ◽  
Author(s):  
M. Syed Ali ◽  
S. Saravanan ◽  
Jinde Cao
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Varying ◽  
Markovian Jump ◽  
Switched Neural Networks ◽  
Finite Time Boundedness ◽  
And Control ◽  
L2 Gain

New results on robust finite-time boundedness of uncertain switched neural networks with time-varying delays

2015 ◽  
Vol 151 ◽  
pp. 522-530 ◽  
Author(s):  
Shun Wang ◽  
Tiange Shi ◽  
Ming Zeng ◽  
Lixian Zhang ◽  
Fuad E. Alsaadi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Varying ◽  
Switched Neural Networks ◽  
Finite Time Boundedness

Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay

2015 ◽  
Vol 69 ◽  
pp. 135-143 ◽  
Author(s):  
Yuanyuan Wu ◽  
Jinde Cao ◽  
Abdulaziz Alofi ◽  
Abdullah AL-Mazrooei ◽  
Ahmed Elaiw
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Varying ◽  
Time Varying Delay ◽  
Switched Neural Networks ◽  
Finite Time Boundedness ◽  
Varying Delay

scholarly journals Finite-time Stabilization for Uncertain Neural Networks With Time-varying Delay

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Sufficient Conditions ◽  
Control Design ◽  
Time Varying ◽  
Time Varying Delay ◽  
The Neural Networks ◽  
Finite Time Boundedness ◽  
And Control ◽  
Varying Delay

In this paper, the problems of finite-time boundedness and control design for uncertain neuralnetworks with time-varying delay is considered. By constructing Lyapunov-Krasovskii function and using thematrix inequality method, sufficient conditions for finite-time boundedness of a class of neural networks withtime-varying delay are established. Then, we proposed a criterion to ensure that the neural networks with timevarying delay is finite-time stabilizable. A numerical example is given to verify the validity of the results.

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