Quasi-uniform synchronization of fractional-order memristor-based neural networks with delay

abstract

• 2017 Elsevier B.V. Quasi-uniform synchronization of delayed fractional-order memristor-based neural networks (FMNNs) is discussed in this paper. On the basis of the theory of fractional differential equations and the theory of differential inclusion, the synchronization error system between the concerned drive system and the associated response system is formulated, and then, by employing Hlder inequality, C p inequality and Gronwall-Bellman inequality, several sufficient criteria are proposed to ensure the quasi-uniform synchronization for the considered delayed FMNNs. Three simulation examples are also presented to illustrate the availability and correctness of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Yang, X., Li, C., Huang, T., Song, Q., & Chen, X.

citation count

• 51

complete list of authors

• Yang, Xujun||Li, Chuandong||Huang, Tingwen||Song, Qiankun||Chen, Xiaofeng

publication date

• April 2017

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Delay
• Fractional-order Neural Networks
• Memristor
• Quasi-uniform Synchronization

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2017.01.014

start page

• 205

end page

• 215

volume

• 234

URL

• http://dx.doi.org/10.1016/j.neucom.2017.01.014