Composite learning sliding mode synchronization of chaotic fractional-order neural networks

In this work, a sliding mode control (SMC) method and a composite learning SMC (CLSMC) method are proposed to solve the synchronization problem of chaotic fractional-order neural networks (FONNs). A sliding mode surface and an adaptive law are constructed to update parameter estimation. The SMC ensu...

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Bibliographic Details
Main Authors: Zhimin Han, Shenggang Li, Heng Liu
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Journal of Advanced Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090123220300680