- 教授
- 博士生导师
- 硕士生导师
- 电子邮箱：
- 入职时间：2007-03-14
- 学历：博士研究生毕业
- 性别：男
- 学位：博士
- 在职信息：在职
- 毕业院校：西安交通大学
- 所属院系：机械工程学院
- 学科：机械工程
Genetic Algorithm-Based Identification of Fractional-Order Systems
- 发布时间：2025-04-30
- 论文名称：Genetic Algorithm-Based Identification of Fractional-Order Systems
- 发表刊物：Entropy
- 摘要：Fractional calculus has become an increasingly popular tool for modeling the complex behaviors of physical systems from diverse domains. One of the key issues to apply fractional calculus to engineering problems is to achieve the parameter identification of fractional-order systems. A time-domain identification algorithm based on a genetic algorithm (GA) is proposed in this paper. The multi-variable parameter identification is converted into a parameter optimization by applying GA to the identification of fractional-order systems. To evaluate the identification accuracy and stability, the time-domain output error considering the condition variation is designed as the fitness function for parameter optimization. The identification process is established under various noise levels and excitation levels. The effects of external excitation and the noise level on the identification accuracy are analyzed in detail. The simulation results show that the proposed method could identify the parameters of both commensurate rate and non-commensurate rate fractional-order systems from the data with noise. It is also observed that excitation signal is an important factor influencing the identification accuracy of fractional-order systems.
- 合写作者：Shengxi Zhou, Junyi Cao,Yangquan Chen
- 卷号：15(5)
- 页面范围：19
- 是否译文：否
- 发表时间：2013-05-06
- 合写作者：Shengxi Zhou, Junyi Cao,Yangquan Chen