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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(1): 44-47 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.80

Research of Networked Control System Based on Fuzzy Adaptive PID Controller

Daogang Peng, Hao Zhang, Hui Li, and Fei Xia
Abstract—Networked control system has recently been a hotspot in the research fields of control theory and control engineering application, which has the advantages of resource sharing, fewer cables, easy to extend and maintain, etc. As the controlled object includes complicated control network and physical object, the controller of networked control system can adopt fuzzy control method. Taking the typical second-order inertia plant in the process of industrial production for example and using the TrueTime toolbox in Matlab, the networked control system based on fuzzy adaptive PID controller had been designed. Through the simulation studies of changing parameters and transmission rates, increasing network delay, proved that the control method can get better control effects.

Index Terms—Networked control system, fuzzy adaptive pid controller, fuzzy control, truetime toolbox.

The authors are with the Shanghai University of Electric Power, Shanghai 200090, China (e-mail: jypdg@163.com, hzhangk@163.com, elmerlee@163.com , xiafeiblue@163.com).


Cite:Daogang Peng, Hao Zhang, Hui Li, and Fei Xia, "Research of Networked Control System Based on Fuzzy Adaptive PID Controller," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 44-47, 2014.

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