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- Title
Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.
- Authors
Zheng, Mingwen; Li, Lixiang; Peng, Haipeng; Xiao, Jinghua; Yang, Yixian; Zhang, Yanping; Zhao, Hui
- Abstract
This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network model, the model in this paper is more general. A class of general discontinuous feedback controllers are designed. With the help of the definition of fixed-time synchronization, the upper right-hand derivative and a defined simple Lyapunov function, some easily verifiable and extensible synchronization criteria are derived to guarantee the fixed-time synchronization between the drive and response systems. Finally, two numerical simulations are given to verify the correctness of the results.
- Subjects
ARTIFICIAL neural networks; LYAPUNOV functions; COMPUTER simulation; FEEDBACK control systems; TIME-varying systems
- Publication
PLoS ONE, 2018, Vol 13, Issue 1, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0191473