scholarly journals A different approach to fixed-time stability for a wide class of time-varying neural networks

Author(s):  
Radosław Matusik
2021 ◽  
pp. 1-14
Author(s):  
Zhenjie Wang ◽  
Wenxia Cui ◽  
Wenbin Jin

This paper mainly considers the finite-time synchronization problem of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. By constructing the suitable Lyapunov functional, and using integral inequality techniques, several sufficient criteria have been proposed to ensure the finite-time synchronization for the addressed (FICNNs). Without applying the known finite-time stability theorem, which is widely used to solve the finite-time synchronization problems for (FICNNs). In this paper, the proposed method is relatively convenient to solve finite-time synchronization problem of the addressed system, this paper extends the research works on the finite-time synchronization of (FICNNs). Finally, numerical simulations illustrated verify the effectiveness of the proposed results.


2020 ◽  
Author(s):  
Deqiang Ouyang ◽  
Jie Shao ◽  
Haijun Jiang ◽  
Shiping Wen ◽  
Sing Kiong Nguang

2020 ◽  
Vol 123 ◽  
pp. 412-419 ◽  
Author(s):  
Chuan Chen ◽  
Lixiang Li ◽  
Haipeng Peng ◽  
Yixian Yang ◽  
Ling Mi ◽  
...  

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