SVM Based Adaptive Output Following Control for a Networked Cooling Process

Xiangming Zhang, Shengjun Wen, Dongyun Wang, Xinkai Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1589-1594
Number of pages6
ISBN (Electronic)9781479970964
DOIs
Publication statusPublished - 2015 Sep 2
Event12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China
Duration: 2015 Aug 22015 Aug 5

Other

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

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ASJC Scopus subject areas

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

Cite this

Zhang, X., Wen, S., Wang, D., & Chen, X. (2015). SVM Based Adaptive Output Following Control for a Networked Cooling Process. In 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