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Finite-time projective synchronization of memristor-based delay fractional-order neural networks
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Finite-time projective synchronization of memristor-based delay fractional-order neural networks
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Finite-time projective synchronization of memristor-based delay fractional-order neural networks
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Journal Article
Finite-time projective synchronization of memristor-based delay fractional-order neural networks
2017
Overview
This paper mainly investigates the finite-time projective synchronization problem of memristor-based delay fractional-order neural networks (MDFNNs). By using the definition of finite-time projective synchronization, combined with the memristor model, set-valued map and differential inclusion theory, Gronwall–Bellman integral inequality and Volterra-integral equation, the finite-time projective of MDFNNs is achieved via the linear feedback controller. Novel sufficient conditions are obtained to guarantee the finite-time projective synchronization of the drive-response MDFNNs. Besides, we also analyze the feasible region of the settling time. Finally, two numerical examples are given to show the effectiveness of the proposed results.
