Robust stochastic convergence and stability of neutral-type neural networks with Markovian jump and mixed delays

2014 ◽  
Vol 29 (2) ◽  
pp. 158-179
Author(s):  
Cheng-De Zheng ◽  
Xixi Lv ◽  
Wenlong Liang ◽  
Zhanshan Wang
Keyword(s):  
Neural Networks ◽  
Neutral Type ◽  
Mixed Delays ◽  
Stochastic Convergence ◽  
Markovian Jump ◽  
Convergence And Stability

scholarly journals Synchronization criteria for neutral-type quaternion-valued neural networks with mixed delays

2021 ◽  
Vol 6 (8) ◽  
pp. 8044-8063
Author(s):  
Shuang Li ◽  
◽  
Xiao-mei Wang ◽  
Hong-ying Qin ◽  
Shou-ming Zhong ◽  
...  
Keyword(s):  
Neural Networks ◽  
Neutral Type ◽  
Mixed Delays

scholarly journals Global Asymptotical Stability of Neutral-Type Neural Networks with D-Operator and Mixed Delays

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Qing Yang ◽  
Bo Du ◽  
Xiwang Cheng
Keyword(s):  
Neural Networks ◽  
Periodic Solutions ◽  
Neutral Type ◽  
Sufficient Conditions ◽  
Asymptotical Stability ◽  
Mixed Delays ◽  
Global Asymptotical Stability ◽  
Numerical Example ◽  
The Stability ◽  
Theoretical Results

In this manuscript, we investigate the stability problems of neutral-type neural networks with D-operator and mixed delays. Some sufficient conditions are obtained for guaranteeing the existence, uniqueness, and global asymptotical stability of periodic solutions to the considered neural networks. Finally, a numerical example is performed to illustrate the theoretical results.

State estimation for uncertain Markovian jump neural networks with mixed delays

2016 ◽  
Vol 182 ◽  
pp. 82-93 ◽  
Author(s):  
Qian Li ◽  
Qingxin Zhu ◽  
Shouming Zhong ◽  
Xiaomei Wang ◽  
Jun Cheng
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Mixed Delays ◽  
Markovian Jump ◽  
Markovian Jump Neural Networks
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