期刊
PHYSICS LETTERS A
卷 381, 期 23, 页码 1943-1949出版社
ELSEVIER
DOI: 10.1016/j.physleta.2017.03.048
关键词
Fractional-order chaotic systems; Differential evolution; Nonlinear optimization; System identification; Synchronization
资金
- National Natural Science Foundation of China [61473189, 61590923, 61673176]
- China Postdoctoral Science Foundation [2016M601525]
- Fundamental Research Funds for the Central Universities [222201714028]
- Shanghai Sailing Program [17YF1427700]
In this paper, the identification problem of fractional-order chaotic systems is proposed and investigated via an evolutionary optimization approach. Different with other studies to date, this research focuses on the identification of fractional-order chaotic systems with not only unknown orders and parameters, but also unknown initial values and structure. A group of fractional-order chaotic systems, i.e., Lorenz,Lu, Chen, Rossler, Arneodo and Volta chaotic systems, are set as the system candidate pool. The identification problem of fractional-order chaotic systems in this research belongs to mixed integer nonlinear optimization in essence. A powerful evolutionary algorithm called composite differential evolution (CoDE) is introduced for the identification problem presented in this paper. Extensive experiments are carried out to show that the fractional-order chaotic systems with unknown initial values and structure can be successfully identified by means of CoDE. (C) 2017 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据