Synchronization and Robust Synchronization for Fractional-Order Coupled Neural Networks

Autor: Shuxue Wang, Yanli Huang, Shunyan Ren
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: IEEE Access, Vol 5, Pp 12439-12448 (2017)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2017.2721950
Popis: Synchronization and robust synchronization of fractional-order coupled neural networks (FCNNs) are considered in this paper. Different with the most published works on synchronization based on a special solution of an isolate node of the networks, we remove this restriction and introduce a more widely accepted definition of synchronization. Meanwhile, because of parametric uncertainties of network models, robust synchronization for FCNNs is investigated. In addition, by utilizing pinning control strategies, several sufficient conditions are derived to make sure that the considered networks can realize pinning synchronization and robust pinning synchronization. Finally, the correctness of the obtained results is substantiated by two given numerical examples.
Databáze: Directory of Open Access Journals