Fixed time synchronization of delayed quaternion-valued memristor-based neural networks

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Abstract

This paper investigates the fixed time synchronization issue for a class of quaternion-valued memristor-based neural networks (QVMNN) at the presence of time varying delays. Differential inclusion and fixed time stability theory are used, and new synchronization conditions are formulated to achieve the synchronization of delayed QVMNN within a fixed time based on a Lyapunov function and a suitable controller. The feasibility of the proposed method is shown through numerical simulations.

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Chen, D., Zhang, W., Cao, J., & Huang, C. (2020). Fixed time synchronization of delayed quaternion-valued memristor-based neural networks. Advances in Difference Equations, 2020(1). https://doi.org/10.1186/s13662-020-02560-w

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