Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays-Reference-Cited by-同舟云学术

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Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays

Published:2021-03-19 Issue:16 Volume:33 Page:10503-10514
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Liu Xiang,Yu Yongguang^ORCID

Funder

Natural Science Foundation of Hebei Province

Scientific Research Foundation for Returned Scholars of Ministry of Education

the Science Foundation of Hebei Normal University

the National Nature Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-05808-y.pdf

Reference39 articles.

1. Atici FM, Eloe PW (2011) Linear systems of fractional nabla difference equations. Rocky Mountain J Math 41(2):353–370

2. Mozyrska D, Girejko E (2013) Overview of fractional $$h$$-difference operators. Advances in Harmonic Analysis and Operator Theory: The Stefan Samko anniversary volume. In: Almeida A, Castro L, Speak FO (eds) Advances in harmonic analysis and operator theory: the stefan samko anniversary volume. Springer, Berlin, pp 253–268

3. Abdeljawad T (2018) Different type kernel $$h$$-fractional differences and their fractional $$h$$-sums. Chaos, Solitons Fractals 116:146–156

4. Baleanu D, Wu G, Bai Y, Chen F (2017) Stability analysis of Caputo-like discrete fractional systems. Commun Nonlinear Sci Numer Simul 48:520–530

5. Goodrich C, Peterson A (2015) Discrete fractional calculus. Springer, Berlin

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