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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Detalles Bibliográficos
Autores principales: Han, Zhimin, Li, Shenggang, Liu, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474211/
https://www.ncbi.nlm.nih.gov/pubmed/32922977
http://dx.doi.org/10.1016/j.jare.2020.04.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474211/
https://www.ncbi.nlm.nih.gov/pubmed/32922977
http://dx.doi.org/10.1016/j.jare.2020.04.006

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