New Results on Synchronization of Fractional-Order Memristor‐Based Neural Networks via State Feedback Control
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This paper addresses the synchronization issue for the drive-response fractional-order memristor‐based neural networks (FOMNNs) via state feedback control. To achieve the synchronization for considered drive-response FOMNNs, two feedback controllers are introduced. Then, by adopting nonsmooth analysis, fractional Lyapunov’s direct method, Young inequality, and fractional-order differential inclusions, several algebraic sufficient criteria are obtained for guaranteeing the synchronization of the drive-response FOMNNs. Lastly, for illustrating the effectiveness of the obtained theoretical results, an example is given.
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2018 ◽
Vol 16
(6)
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pp. 2859-2869
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2013 ◽
Vol 46
(1)
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pp. 54-59
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2021 ◽
2016 ◽
Vol 3
(4)
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pp. 483-488
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