Mittag-Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control

IEEE Trans Neural Netw Learn Syst. 2021 May;32(5):2279-2284. doi: 10.1109/TNNLS.2020.2995718. Epub 2021 May 3.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't