Projective synchronization of fractional-order memristor-based neural networks
This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo’s fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effec...
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| Veröffentlicht in: | Neural networks 2015-03, Vol.63, p.1-9 |
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| creator | Bao, Hai-Bo Cao, Jin-De |
| description | This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo’s fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effectiveness of the main results. The results in this paper extend and improve some previous works on the synchronization of fractional-order neural networks. |
| doi_str_mv | 10.1016/j.neunet.2014.10.007 |
| format | Article |
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| ispartof | Neural networks, 2015-03, Vol.63, p.1-9 |
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| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Algorithms Derivation Filippov’s solution Fractional-order Inequalities Information Storage and Retrieval - methods Mathematical models Memristor-based neural networks Neural networks Neural Networks (Computer) Projective synchronization Synchronism Synchronization |
| title | Projective synchronization of fractional-order memristor-based neural networks |
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