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Fixed-time synchronization of quaternion-valued memristive neural networks with time delays
1School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210996, Jiangsu, China.
Abstract:
In this paper, a new type of neural networks, quaternion-valued memristive neural networks (QVMNNs) is formulated. On the basis of the differential inclusion principle and the Lyapunov functional method, fixed-time synchronization problem is considered in the form of drive-response system for this type of neural networks. A novel fixed-time controller is designed to achieve the control goal. With the fixed-time stability theory and some inequality techniques, criterion of fixed-time synchronization for QVMNNs is given. Finally, corresponding simulation results are presented to show the effectiveness of the method derived in this paper.
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