Output Synchronization of Coupled Fractional-Order Neural Networks With Multiple Weights

被引：0
|
作者：
Lin, Yi-Tong [1 ]
Wang, Jin-Liang [2 ]
Liu, Chen-Guang [2 ]
Huang, Yan-Li [2 ]
机构：
[1] Tiangong Univ, Sch Math Sci, Tianjin 300387, Peoples R China
[2] Tiangong Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
关键词：
Coupled fractional-order neural networks; Multiple weights; Output synchronization; Parameter uncertainties;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses the output synchronization for coupled fractional-order neural networks with multiple weights (CFONNMWs). Firstly, the output synchronization problem for CFONNMWs is analyzed by utilizing the properties of Mittag-Leffler functions and the Laplace transform. Moreover, an output synchronization criterion of CFONNMWs with uncertain parameters is also derived on the basis of the Lyapunov functional method and several inequality techniques. Finally, two examples are provided to verify the effectiveness of the obtained results.
引用
收藏
页码：953 / 958
页数：6
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