SVM Based Adaptive Output Following Control for a Networked Cooling Process

Xiangming Zhang, Shengjun Wen, Dongyun Wang, Xinkai Chen

研究成果: Conference contribution

抜粋

In this paper, an adaptive output following control based on support vector machine (SVM) is proposed for a networked cooling process. Firstly, an approximated linear model of the cooling process is built through some thermal laws, where some parameters of the system are varied during operation. The parameters are identified by using SVM method. Based on the identified parameters, an adaptive output following controller with command generator tracker (CGT) is designed. By using the presented method, system stability and tracking performance can be ensured. Furthermore, experimental results are given to show the effectiveness of the proposed scheme.

元の言語English
ホスト出版物のタイトル2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1589-1594
ページ数6
ISBN(電子版)9781479970964
DOI
出版物ステータスPublished - 2015 9 2
イベント12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China
継続期間: 2015 8 22015 8 5

Other

Other12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
China
Beijing
期間15/8/215/8/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering
  • Mechanical Engineering

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  • これを引用

    Zhang, X., Wen, S., Wang, D., & Chen, X. (2015). SVM Based Adaptive Output Following Control for a Networked Cooling Process. : 2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015 (pp. 1589-1594). [7237722] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2015.7237722