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

抄録

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.

本文言語English
ホスト出版物のタイトル2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
出版社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

出版物シリーズ

名前2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015

Other

Other12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
国/地域China
CityBeijing
Period15/8/215/8/5

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア
  • 制御およびシステム工学
  • 機械工学

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