SVM Based Adaptive Output Following Control for a Networked Cooling Process

Xiangming Zhang; Shengjun Wen; Dongyun Wang; Xinkai Chen

doi:10.1109/ICMA.2015.7237722

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 proceeding › Conference 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 language	English
Title of host publication	2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1589-1594
Number of pages	6
ISBN (Electronic)	9781479970964
DOIs	https://doi.org/10.1109/ICMA.2015.7237722
Publication status	Published - 2015 Sep 2
Event	12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China Duration: 2015 Aug 2 → 2015 Aug 5

Publication series

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

Other

Other	12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
Country/Territory	China
City	Beijing
Period	15/8/2 → 15/8/5

ASJC Scopus subject areas

Artificial Intelligence
Software
Control and Systems Engineering
Mechanical Engineering

Access to Document

10.1109/ICMA.2015.7237722

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] (2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2015.7237722

SVM Based Adaptive Output Following Control for a Networked Cooling Process. / Zhang, Xiangming; Wen, Shengjun; Wang, Dongyun et al.

2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1589-1594 7237722 (2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7237722, 2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1589-1594, 12th IEEE International Conference on Mechatronics and Automation, ICMA 2015, Beijing, China, 15/8/2. https://doi.org/10.1109/ICMA.2015.7237722

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

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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.",

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AB - 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.

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SVM Based Adaptive Output Following Control for a Networked Cooling Process

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