Exponential synchronization and state estimation of inertial quaternion‐valued Cohen‐Grossberg neural networks: Lexicographical order method

2020 ◽  
Vol 30 (6) ◽  
pp. 2171-2185
Author(s):  
Hongzhi Wei ◽  
Baowei Wu ◽  
Zhengwen Tu
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Exponential Synchronization ◽  
Lexicographical Order ◽  
Order Method

Non-reduced order method for state estimation of quaternion-valued inertial neural networks

2021 ◽  
Author(s):  
Zhengwen Tu ◽  
Liangwei Wang ◽  
Yongxiang Zhao ◽  
Tao Peng ◽  
Xinsong Yang ◽  
...  
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Order Method ◽  
Reduced Order ◽  
Inertial Neural Networks

Asynchronous finite-time state estimation for semi-Markovian jump neural networks with randomly occurred sensor nonlinearities

2021 ◽  
Vol 432 ◽  
pp. 240-249
Author(s):  
Yao Wang ◽  
Shengyuan Xu ◽  
Yongmin Li ◽  
Yuming Chu ◽  
Zhengqiang Zhang
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Finite Time ◽  
Markovian Jump ◽  
Markovian Jump Neural Networks

Stabilization for a class of delayed switched inertial neural networks via non-reduced order method

2021 ◽  
pp. 014233122098594
Author(s):  
Xuan Chen ◽  
Dongyun Lin
Keyword(s):  
Neural Networks ◽  
Comparative Research ◽  
Lyapunov Functional ◽  
Sufficient Conditions ◽  
Global Stabilization ◽  
Order Method ◽  
Reduced Order ◽  
Global Asymptotic Stabilization ◽  
Inertial Neural Networks ◽  
Barbalat Lemma

This paper tackles the issue of global stabilization for a class of delayed switched inertial neural networks (SINN). Distinct from the frequently employed reduced-order technique, this paper studies SINN directly through non-reduced order method. By constructing a novel Lyapunov functional and using Barbalat Lemma, sufficient conditions for the global asymptotic stabilization issue and global exponential stabilization issue of the considered SINN are established. Numerical simulations further confirm the feasibility of the main results. The comparative research shows that global stabilization results of this paper complement and improve some existing work.

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