Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller.
Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion.
Furthermore, according to fractional-order differential inequalities and fractional-order Lyapunov direct method, the trajectories of the system converge to the sliding mode surface to carry out sliding mode motion, and some sufficient criteria are obtained to achieve global projective synchronization of NFMNN.
In addition, the conclusions extend and improve some previous works on the synchronization of fractional-order memristive neural networks (FMNN).
Finally, a simulation example is given to verify the effectiveness and correctness of the obtained results.
American Psychological Association (APA)
Chen, Chong& Ding, Zhixia. 2019. Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1146615
Modern Language Association (MLA)
Chen, Chong& Ding, Zhixia. Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1146615
American Medical Association (AMA)
Chen, Chong& Ding, Zhixia. Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1146615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1146615