期刊
NONLINEAR DYNAMICS
卷 82, 期 3, 页码 1343-1354出版社
SPRINGER
DOI: 10.1007/s11071-015-2242-7
关键词
Synchronization; Fractional-order; Memristor-based neural networks; Adaptive control
资金
- National Natural Science Foundation of China [61203096]
- Chinese Postdoctoral Science Foundation [2013M513924]
- Fundamental Research Funds for Central Universities [XDJK2013C001]
- Southwest University [SWU112024]
- National Research Foundation of Korea (NRF) - Ministry of Education [2013R1A1A2A10005201]
- National Research Foundation of Korea [22A20130000136, 2013R1A1A2A10005201] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This paper is concerned with the adaptive synchronization problem of fractional-order memristor-based neural networks with time delay. By combining the adaptive control, linear delay feedback control, and a fractional-order inequality, sufficient conditions are derived which ensure the drive-response systems to achieve synchronization. Finally, two numerical examples are given to demonstrate the effectiveness of the obtained results.
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