Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control
Yonggui Kao, Ying Li, Ju H. Park, Xiangyong Chen · IEEE Transactions on Neural Networks and Learning Systems · 2020
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.