In this paper, the real-valued memristive neural networks (MNNs) are extended to quaternion field, a new class of neural networks named quaternion-valued memristive neural networks (QVMNNs) is then established. The problem of master-slave synchronization of this type of networks is investigated in this paper. Two types of controllers are designed: the traditional feedback controller and the event-triggered controller. Corresponding synchronization criteria are then derived based on Lyapunov method. Moreover, it is demonstrated that Zeno behavior can be avoided in case of the event-triggered strategy proposed in this work. Finally, corresponding simulation examples are proposed to demonstrate the correctness of the proposed results derived in this work.
Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme.
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作者:Wei Ruoyu, Cao Jinde
| 期刊: | Cognitive Neurodynamics | 影响因子: | 3.900 |
| 时间: | 2019 | 起止号: | 2019 Oct;13(5):489-502 |
| doi: | 10.1007/s11571-019-09545-w | ||
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