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Periodically intermittent control for finite-time synchronization of delayed quaternion-valued neural networks.
- 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]
- Subjects :
- SYNCHRONIZATION
PSYCHOLOGICAL feedback
DIFFERENTIAL inequalities
LYAPUNOV functions
Subjects
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