scholarly journals Finite-time synchronization of Clifford-valued neural networks with infinite distributed delays and impulses

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
N. Boonsatit ◽  
R. Sriraman ◽  
T. Rojsiraphisal ◽  
C.P. Lim ◽  
P. Hammachukiattikul ◽  
...  
2020 ◽  
Vol 416 ◽  
pp. 152-157 ◽  
Author(s):  
Yanjun Liu ◽  
Junjian Huang ◽  
Yu Qin ◽  
Xinbo Yang

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1163
Author(s):  
Grienggrai Rajchakit ◽  
Ramalingam Sriraman ◽  
Chee Peng Lim ◽  
Panu Sam-ang ◽  
Porpattama Hammachukiattikul

In this paper, we explore the finite-time synchronization of Clifford-valued neural networks with finite-time distributed delays. To address the problem associated with non-commutativity pertaining to the multiplication of Clifford numbers, the original n-dimensional Clifford-valued drive and response systems are firstly decomposed into the corresponding 2m-dimensional real-valued counterparts. On the basis of a new Lyapunov–Krasovskii functional, suitable controller and new computational techniques, finite-time synchronization criteria are formulated for the corresponding real-valued drive and response systems. The feasibility of the main results is verified by a numerical example.


2017 ◽  
Vol 46 (1) ◽  
pp. 271-291 ◽  
Author(s):  
Chao Zhou ◽  
Wanli Zhang ◽  
Xinsong Yang ◽  
Chen Xu ◽  
Jianwen Feng

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