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Periodically intermittent control for finite-time synchronization of delayed quaternion-valued neural networks.

Authors :
Aouiti, Chaouki
Bessifi, Mayssa
Source :
Neural Computing & Applications; Jun2021, Vol. 33 Issue 12, p6527-6547, 21p
Publication Year :
2021

Abstract

In this paper, the finite-time synchronization between two delayed quaternion-valued neural networks (QVNNs) via the periodically intermittent feedback control is studied. Firstly, the finite-time synchronization problem is presented for the first time via the periodically intermittent control approach. Secondly, the upper bounds of the settling time for finite-time synchronization are estimated. Thirdly, a kind of novel controller, state feedback controller, which contains an integral term and delayed term, is proposed. Through these, the problem of finite-time synchronization has been solved very well. Finally, several new conditions ensuring finite-time synchronization of two delayed QVNNs are derived by establishing a new differential inequality and constructing a Lyapunov function. In the end, two numerical examples with simulations show the effectiveness of the derived results and the developed method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
33
Issue :
12
Database :
Complementary Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
150576875
Full Text :
https://doi.org/10.1007/s00521-020-05417-1