Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data

2018 ◽  
Vol 50 (1) ◽  
pp. 216-230 ◽  
Author(s):  
Chao Ma ◽  
Wei Wu ◽  
Yinlin Li
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Sampled Data ◽  
Markovian Jumping ◽  
Dependent State

scholarly journals Robust State Estimation for Delayed Neural Networks with Stochastic Parameter Uncertainties

2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
M. J. Park ◽  
O. M. Kwon ◽  
Ju H. Park ◽  
S. M. Lee ◽  
E. J. Cha
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Linear Matrix ◽  
Parameter Uncertainties ◽  
Delayed Neural Networks ◽  
Stochastic Parameter ◽  
Mean And Variance ◽  
Delay Dependent ◽  
Designing Method ◽  
Dependent State

This paper considers the problem of delay-dependent state estimation for neural networks with time-varying delays and stochastic parameter uncertainties. It is assumed that the parameter uncertainties are affected by the environment which is changed with randomly real situation, and its stochastic information such as mean and variance is utilized in the proposed method. By constructing a newly augmented Lyapunov-Krasovskii functional, a designing method of estimator for neural networks is introduced with the framework of linear matrix inequalities (LMIs) and a neural networks model with stochastic parameter uncertainties which have not been introduced yet. Two numerical examples are given to show the improvements over the existing ones and the effectiveness of the proposed idea.

scholarly journals Sampled-data state estimation for neural networks of neutral type

2014 ◽  
Vol 2014 (1) ◽  
Author(s):  
Changchun Yang ◽  
Yongqing Yang ◽  
Manfeng Hu ◽  
Xianyun Xu
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Neutral Type ◽  
Sampled Data

Delay-dependent state estimation of neural networks with mixed time-varying delays

2014 ◽  
Vol 129 ◽  
pp. 392-400 ◽  
Author(s):  
S. Lakshmanan ◽  
K. Mathiyalagan ◽  
Ju H. Park ◽  
R. Sakthivel ◽  
Fathalla A. Rihan
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Time Varying ◽  
Delay Dependent ◽  
Dependent State
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