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Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks.
- Source :
- Entropy; Jan2018, Vol. 20 Issue 1, p54, 16p
- Publication Year :
- 2018
-
Abstract
- This paper discusses the synchronization of fractional order complex valued neural networks (FOCVNN) at the presence of time delay. Synchronization criterions are achieved through the employment of a linear feedback control and comparison theorem of fractional order linear systems with delay. Feasibility and effectiveness of the proposed system are validated through numerical simulations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 20
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Entropy
- Publication Type :
- Academic Journal
- Accession number :
- 128005003
- Full Text :
- https://doi.org/10.3390/e20010054