SVM Based Adaptive Output Following Control for a Networked Cooling Process

Author

Xiangming Zhang ; Shengjun Wen ; Dongyun Wang ; Xinkai Chen

Author_Institution

Sch. of Electr. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China

fYear

2015

fDate

2-5 Aug. 2015

Firstpage

1589

Lastpage

1594

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.

Keywords

adaptive control; control engineering computing; cooling; intelligent control; linear systems; networked control systems; parameter estimation; stability; support vector machines; CGT; SVM method; adaptive output following control; approximated linear model; command generator tracker; networked cooling process; parameters identification; support vector machine; system parameters; system stability; thermal laws; tracking performance; Adaptation models; Adaptive systems; Cooling; Heat transfer; Mathematical model; Process control; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2015 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-7097-1

Type

conf

DOI

10.1109/ICMA.2015.7237722

Filename

7237722