Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays

Entropy

Weiyuan Ma¹  Changpin Li²  Yujiang Wu¹ 

[1] School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China; E-Mails:;Department of Mathematics, Shanghai University, Shanghai 200444, China

关键词: fractional neural networks;    synchronization;    adaptive control;    parameters identification;    time delays;   

DOI  :  10.3390/e16126286

来源: mdpi

【 摘 要 】

In this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to synchronize two uncertain complex networks with time delays. Besides, the system parameters in the uncertain network can be identified in the process of synchronization. To demonstrate the validity of the proposed method, several illustrative examples are presented.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland