Journal
ENTROPY
Volume 16, Issue 12, Pages 6286-6299Publisher
MDPI
DOI: 10.3390/e16126286
Keywords
fractional neural networks; synchronization; adaptive control; parameters identification; time delays
Categories
Funding
- National Natural Science Foundation of China [11471150, 11372170, 61304173, 41465002]
- China Postdoctoral Science Foundation [2013M531107]
- Foundation of Liaoning Educational Committee [13-1069]
- Fundamental Research Funds for the Central Universities [31920130003]
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In this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to synchronize two uncertain complex networks with time delays. Besides, the system parameters in the uncertain network can be identified in the process of synchronization. To demonstrate the validity of the proposed method, several illustrative examples are presented.
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