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Mittag鈥揕effler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control
IEEE Transactions on Neural Networks and Learning Systems ( IF 10.2 ) Pub Date : 2020-06-01 , DOI: 10.1109/tnnls.2020.2995718
Yonggui Kao , Ying Li , Ju H Park , Xiangyong Chen

This brief is devoted to exploring the global Mittag-Leffler (ML) synchronization problem of fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid adaptive controller. By applying Fillipov's theory and the Lyapunov functional method, the novel algebraic sufficient condition for the global ML synchronization of FOMNNs is derived. Finally, a simulation example is presented to show the practicability of our findings.

中文翻译:


Mittag’effler 通过自适应控制实现延迟分数忆阻器神经网络同步



本简介致力于通过混合自适应控制器探索具有泄漏延迟的分数阶忆阻器神经网络 (FOMNN) 的全局 Mittag-Leffler (ML) 同步问题。通过应用 Fillipov 理论和 Lyapunov 泛函方法,推导了 FOMNN 全局机器学习同步的新代数充分条件。最后,给出了一个仿真例子来证明我们的研究结果的实用性。
更新日期:2020-06-01
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