An initial study of gain-scheduling controller design for NCS using delay statistical model

  • Authors:
  • Minrui Fei;Xiaobing Zhou;T. C. Yang;Yuemei Tan;Heshou Wang

  • Affiliations:
  • Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, China;Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, China;The Department of Engineering, University of Sussex, Brighton, UK;Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, China;Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, China

  • Venue:
  • ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
  • Year:
  • 2006

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Abstract

In this paper, the statistical model of communication network delay based on the data measured from a network in operation is studied. In our study, it is found that modeling the round trip time (RTT) in our network by a single statistical model is not adequate. Therefore two combined statistical distributions, Pareto distribution and generalized exponential distribution, are used to develop our model. This approach is verified by the standard Chi-square test widely used by statisticians. Based on the model developed, a gain-scheduling algorithm to adjust controller gain to compensate time delay in a networked control system (NCS) is developed. This paper presents the results of our initial study. In addition, further research based on the design methodology pioneered in this paper is also proposed.