Abstract
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. © 2015 Kavala Institute of Technology.
| Original language | English |
|---|---|
| Pages (from-to) | 17-23 |
| Journal | Journal of Engineering Science and Technology Review |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2015 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
The work was supported by Program for New Century Excellent Talents in University (Grant Nos.[2013]47), National Natural Science Foundation of China (Grant Nos. 61372139, 60972155), Technology Foundation for Selected Overseas Chinese Scholars, Ministry of Personnel in China (Grant No. 2012-186), University Excellent Talents Supporting Foundations in of Chongqing (Grant No. 201165), Fundamental Research Funds for the Central Universities (Grant Nos. XDJK2014A009).
Research Keywords
- Adaptive synchronization
- Backstepping
- Chaos
- Chaotic systems
- Memristors
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