Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5102766 | Physica A: Statistical Mechanics and its Applications | 2017 | 16 Pages |
Abstract
This paper focuses on the parameter estimation problem of fractional-order neural network. By combining the adaptive control and parameter update law, we generalize the synchronization-based identification method that has been reported in several literatures on identifying unknown parameters of integer-order systems. With this method, parameter identification and synchronization can be achieved simultaneously. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Yajuan Gu, Yongguang Yu, Hu Wang,