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副教授
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徐文权
发布时间:2024-03-14 发布者: 浏览次数:

徐文权,博士,副教授,硕导,安徽枞阳人,1983年生,中南大学控制科学与工程专业博士,主要从事复杂系统建模与优化控制、机器学习和分离优化方面的研究工作。在Applied Soft Computing、Journal of Process Control、Applied Intelligence、International Journal of Control等国内外重要刊物上发表学术论文20余篇。授权发明专利2项。主持/参与国家级省级课题10余项;IEEE Transactions on Neural Networks and Learning Systems, IEEE Access, neural processing letters,International Journal of Mathematics and Mathematical Sciences,365英国上市网站官网学报等国际/国内学术期刊和学报等的审稿人。

邮箱: zyheijunma@163.com

一 发表的科研论文

[1] Wenquan Xu, Hui Hu, Stability analysis of deep belief network-based SD-AR model for nonlinear time series, Neural Processing Letters, 56, 65 (2024). https://doi.org/10.1007/s11063-024-11543-x. SCI

[2] Wenquan Xu, Hui Hu, A novel FRBF-type model for nonlinear time series prediction, Mathematical Problems in Engineering, 2023, Article ID: 5753023.(EI)

[3] Hui Hu, Wenquan Xu. Time series forecasting based on empirical mode decomposition and the varying- coefficient DBN-AR model, IEEE Access, 2022, 105169-105181. SCI

[4] Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoyin Tian, and Xiaoyan Peng. A hybrid modeling method based on linear AR and nonlinear DBN-AR model for time series forecasting, Neural Processing Letters, 2022, 54(1): 1-20. SCI

[5] Wenquan Xu, Hui Peng, Xiaoyin Tian, and Xiaoyan Peng. DBN based SD-ARX model for nonlinear time series prediction and analysis, Applied Intelligence, 2020, 50(12):4586-4601. SCI

[6] Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoyin Tian, and Xiaoyan Peng. Deep belief network-based AR model for nonlinear time series forecasting, Applied Soft Computing, 2019, 77, 605-621. SCI

[7] Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoyin Tian, and Xiaoyan Peng. A hybrid modelling method for time series forecasting based on a linear regression model and deep learning, Applied Intelligence, 2019, 49: 3002-3015. SCI

[8] Wenquan Xu, Hui Hu, and Wei Yang. Energy time series forecasting based on empirical mode decomposition and FRBF-AR model, IEEE Access, 2019, 36540-36548. SCI

[9] 徐文权, 胡慧, 卓张华, 杨伟. RBF-AR模型在三峡水电站上网日电量预测中的应用. 河海大学学报(自然科学版), 2018, 46(3):275-282. CSCD

[10] Tiao Kang, Hui Peng, Wenquan Xu, Yapeng Sun, and Xiaoyan Peng. Deep learning-based state-dependent ARX modeling and predictive control of nonlinear systems, IEEE Access, 2023, 11, 32579-32594. SCI

[11] Tian Xiaoyin, Peng Hui, Xu Wenquan, Kang Tiao, Zhang Haifeng, Peng Xiaoyan. 2022, Nonlinear curve fitting-based fast robust MPC algorithm for nonlinear system, Journal of the Franklin Institute, 359, No.11, 5206-5230. SCI

[12] Shaoguo Xie, Liefu Ai and Wenquan Xu. Effective capacity optimization for UDN, IET Communications, 2022, DOI: 10.1049/cmu2.12408. SCI

[13] Tian Xiaoyin, Peng Hui, Zeng Xiaoyong, Zhou Feng, Xu Wenquan, and Peng Xiaoyan, A modeling and predictive control approach to linear two-stage inverted pendulum based on RBF-ARX model, International Journal of Control, 2020, DOI: 10.1080/00207179.2019.1594386. SCI

[14] Zhou Feng, Peng Hui, Qin Yemei, Zeng Xiaoyong, Tian Xiaoying, and Xu Wenquan. A RBF-ARX model-based robust MPC for tracking control without steady state knowledge, Journal of Process Control, 2017, 51: 42-54. SCI.

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