IEEE Trans Neural Netw Learn Syst. 2021 May;32(5):2279-2284. doi: 10.1109/TNNLS.2020.2995718. Epub 2021 May 3.
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.
本简报致力于通过混合自适应控制器研究分数阶忆阻神经网络(FOMNN)的全局 Mittag-Leffler(ML)同步问题。通过应用 Filippov 理论和 Lyapunov 泛函方法,推导出了 FOMNN 全局 ML 同步的新的代数充分条件。最后,通过一个仿真示例展示了我们研究结果的实用性。