Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control

2020 ◽  
Author(s):  
Dongsheng Xu ◽  
Yu Liu ◽  
Ming Liu
Keyword(s):  
Neural Networks ◽  
Feedback Control ◽  
Finite Time ◽  
Time Synchronization ◽  
Fuzzy Neural Networks ◽  
Mixed Delays ◽  
Fuzzy Neural

Finite-Time Synchronization of Complex-Valued Neural Networks with Mixed Delays and Uncertain Perturbations

2017 ◽  
Vol 46 (1) ◽  
pp. 271-291 ◽  
Author(s):  
Chao Zhou ◽  
Wanli Zhang ◽  
Xinsong Yang ◽  
Chen Xu ◽  
Jianwen Feng
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Synchronization ◽  
Mixed Delays ◽  
Complex Valued

scholarly journals Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
YaJun Li ◽  
Quanxin Zhu
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Sufficient Conditions ◽  
Fuzzy Neural Networks ◽  
Linear Matrix ◽  
Mixed Delays ◽  
The Novel ◽  
Free Weight ◽  
Fuzzy Neural ◽  
The Stability

This paper is concerned with the stability problem of a class of discrete-time stochastic fuzzy neural networks with mixed delays. New Lyapunov-Krasovskii functions are proposed and free weight matrices are introduced. The novel sufficient conditions for the stability of discrete-time stochastic fuzzy neural networks with mixed delays are established in terms of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness and benefits of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document