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具有无界时变时滞的多分数阶神经网络的牵制线性与自适应同步

On Pinning Linear and Adaptive Synchronization of Multiple Fractional-Order Neural Networks With Unbounded Time-Varying Delays

IEEE Transactions on Cybernetics · 2021
被引 22
ABS 3

中文导读

研究了具有无界时变时滞的多分数阶神经网络的同步问题,提出了牵制线性控制和自适应控制方法,并给出了同步的充分条件,对控制理论研究者有参考价值。

Abstract

In this article, the synchronization of multiple fractional-order neural networks with unbounded time-varying delays (FNNUDs) is investigated. By introducing a pinning linear control, sufficient conditions are provided for achieving the synchronization of multiple FNNUDs via an extended Halanay inequality. Moreover, a new effective adaptive control which applies to the fractional differential equations with unbounded time-varying delays is designed, under which sufficient criteria are presented to ensure the synchronization of multiple FNNUDs. The introduced control in this article is also workable in traditional integer-order neural networks. Finally, the validity of obtained results is demonstrated by a numerical example.

分数阶神经网络同步控制时滞系统自适应控制