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Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions.

Authors :
Peng, Tao
Wu, Yanqiu
Tu, Zhengwen
Alofi, A.S.
Lu, Jianquan
Source :
Neural Networks. Mar2023, Vol. 160, p108-121. 14p.
Publication Year :
2023

Abstract

A control strategy containing Lyapunov functions is proposed in this paper. Based on this strategy, the fixed-time synchronization of a time-delay quaternion-valued neural network (QVNN) is analyzed. This strategy is extended to the prescribed-time synchronization of the QVNN. Furthermore, an improved two-step switching control strategy is also proposed based on this flexible control strategy. Compared with some existing methods, the main method of this paper is a non-decomposition one, does not contain a sign function in the controller, and has better synchronization accuracy. Two numerical examples verify the above advantages. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08936080
Volume :
160
Database :
Academic Search Index
Journal :
Neural Networks
Publication Type :
Academic Journal
Accession number :
162131550
Full Text :
https://doi.org/10.1016/j.neunet.2022.12.014