Non-fragile L2−L∞ filtering for a class of switched neural networks

2021 ◽  
Vol 185 ◽  
pp. 629-645
Author(s):  
Weipeng Tai ◽  
Dandan Zuo ◽  
Zuxing Xuan ◽  
Jianping Zhou ◽  
Zhen Wang
Keyword(s):  
Neural Networks ◽  
Switched Neural Networks

Adaptive state estimation of Markov switched neural networks driven by Lévy noise

2019 ◽  
Vol 42 (2) ◽  
pp. 330-336
Author(s):  
Dongbing Tong ◽  
Qiaoyu Chen ◽  
Wuneng Zhou ◽  
Yuhua Xu
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Sufficient Conditions ◽  
Lyapunov Stability Theory ◽  
Lévy Noise ◽  
Linear Matrix ◽  
Delayed Neural Networks ◽  
Switched Neural Networks ◽  
Inequality Technique ◽  
Levy Noise

This paper proposes the [Formula: see text]-matrix method to achieve state estimation in Markov switched neural networks with Lévy noise, and the method is very distinct from the linear matrix inequality technique. Meanwhile, in light of the Lyapunov stability theory, some sufficient conditions of the exponential stability are derived for delayed neural networks, and the adaptive update law is obtained. An example verifies the condition of state estimation and confirms the effectiveness of results.

scholarly journals Stabilization of switched neural networks with time‐varying delay via bumpless transfer control

2019 ◽  
Vol 22 (2) ◽  
pp. 1008-1020 ◽  
Author(s):  
Chao Liu ◽  
Dihua Sun ◽  
Zheng Yang ◽  
Xiaoyang Liu ◽  
Hongyu Yang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Varying ◽  
Time Varying Delay ◽  
Switched Neural Networks ◽  
Bumpless Transfer ◽  
Varying Delay

Exponential H ∞ filtering for switched neural networks with mixed delays

2014 ◽  
Vol 8 (11) ◽  
pp. 987-995 ◽  
Author(s):  
Ziyi Su ◽  
Li Yu ◽  
Hongxia Wang ◽  
Dan Zhang
Keyword(s):  
Neural Networks ◽  
Mixed Delays ◽  
Switched Neural Networks
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