Neural network synchronization of fractional-order chaotic systems subject to backlash nonlinearity

被引：4
|
作者：
Zhang, Xiulan [1 ]
Yang, Chunzhi [2 ]
机构：
[1] Guangxi Univ Nationalities, Sch Math & Phys, Nanning 530006, Peoples R China
[2] Huainan Normal Univ, Dept Appl Math, Huainan 232038, Peoples R China
来源：
AIP ADVANCES | 2020年 / 10卷 / 06期
关键词：
This paper investigates the neural network (NN) synchronization controller design problem of fractional-order chaotic systems (FOCSs) subject to disturbances and backlash-like hysteresis input. First; we divide the backlash-like hysteresis input into two parts; one of which is the actual controller and the other that can be approximated by NNs. Then; an adaptive NN synchronization control input is implemented to drive the synchronization error between two identical FOCSs into a small domain. Finally; the effect of our approach is indicated by simulation results. © 2020 Author(s);
D O I：
10.1063/5.0007914
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
This paper investigates the neural network (NN) synchronization controller design problem of fractional-order chaotic systems (FOCSs) subject to disturbances and backlash-like hysteresis input. First, we divide the backlash-like hysteresis input into two parts, one of which is the actual controller and the other that can be approximated by NNs. Then, an adaptive NN synchronization control input is implemented to drive the synchronization error between two identical FOCSs into a small domain. Finally, the effect of our approach is indicated by simulation results.
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收藏
页数：8
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