Adaptive Synchronization of Memristor-based Chaotic Neural Systems
Chaotic neural networks consisting of a great number of chaotic neurons are able to reproduce the rich dynamics observed in biological nervous systems. In recent years, the memristor has attracted much interest in the efficient implementation of artificial synapses and neurons. This work addresses...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Eastern Macedonia and Thrace Institute of Technology
2014-11-01
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| Series: | Journal of Engineering Science and Technology Review |
| Subjects: | |
| Online Access: | http://www.jestr.org/downloads/Volume8Issue2/fulltext8242015.pdf |
| Summary: | Chaotic neural networks consisting of a great number of chaotic neurons are able to reproduce the rich dynamics
observed in biological nervous systems. In recent years, the memristor has attracted much interest in the efficient
implementation of artificial synapses and neurons. This work addresses adaptive synchronization of a class of
memristor-based neural chaotic systems using a novel adaptive backstepping approach. A systematic design procedure is
presented. Simulation results have demonstrated the effectiveness of the proposed adaptive synchronization method and its potential in practical application of memristive chaotic oscillators in secure communication. |
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| ISSN: | 1791-2377 1791-2377 |