Time-varying delay-dependent finite-time boundedness with H∞ performance for Markovian jump neural networks with state and input constraints

2021 ◽  
Vol 423 ◽  
pp. 419-426
Author(s):  
Shaoxin Sun ◽  
Huaguang Zhang ◽  
Weihua Li ◽  
Yingchun Wang
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Varying ◽  
Input Constraints ◽  
Markovian Jump ◽  
Time Varying Delay ◽  
Finite Time Boundedness ◽  
Delay Dependent ◽  
Varying Delay ◽  
Markovian Jump Neural Networks

scholarly journals Robust Finite-time Boundedness of Discrete-time Neural Networks with Time-varying Delays

2021 ◽  
Vol 17 ◽  
pp. 146-155
Author(s):  
Mengying Ding ◽  
Yali Dong
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Finite Time ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Time Varying ◽  
Finite Time Stability ◽  
Time Varying Delay ◽  
Finite Time Boundedness ◽  
Varying Delay

This paper is concerned with the problem of robust finite-time boundedness for the discrete-time neural networks with time-varying delays. By constructing an appropriate Lyapunov-Krasovskii functional, we propose the sufficient conditions which ensure the robust finite-time boundedness of the discrete-time neural networks with time-varying delay in terms of linear matrix inequalities. Then the sufficient conditions of robust finite-time stability for the discrete-time neural networks with time-varying delays are given. Finally, a numerical example is presented to illustrate the efficiency of proposed methods.

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
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