上海交通大学学报(英文版) ›› 2011, Vol. 16 ›› Issue (5): 513-518.doi: 10.1007/s12204-011-1181-9

• 论文 •    下一篇

 Fault Detection of Networked Control Systems with Uncertain
Time-Varying Delay and Quantization Error

LI Bin (李   斌),    WAN Yi-ming (万一鸣),    YE Hao (叶   昊)   

  1. (Department of Automation, Tsinghua University, Beijing 100084, China)
  • 收稿日期:2011-05-09 出版日期:2011-10-29 发布日期:2011-10-20
  • 通讯作者: LI Bin (李 斌) E-mail:libin09@mails.tsinghua.edu.cn
  • 基金资助:

    the National Basic Research Program (973) of China(No.2010CB731800) ,...

Time-Varying Delay and Quantization Error

LI Bin (李   斌),    WAN Yi-ming (万一鸣),    YE Hao (叶   昊)   

  1. (Department of Automation, Tsinghua University, Beijing 100084, China)
  • Received:2011-05-09 Online:2011-10-29 Published:2011-10-20
  • Contact: LI Bin (李 斌) E-mail:libin09@mails.tsinghua.edu.cn
  • Supported by:

    the National Basic Research Program (973) of China(No.2010CB731800) ,...

摘要: Abstract:  Problems related to fault detection of
networked control systems (NCSs) with both uncertain time-varying
delay and quantization error are studied in this paper. A novel
model with the form of polytopic uncertainty is given to represent
the influences of both the time-varying delay and the quantization
error, and then the reference model based method is used to design
the residual generator that is robust to both unknown
network-induced delay and unknown inputs. A numerical example is
also given to illustrate the merits of the presented method. The
proposed method can be regarded as an extension of the
authors' former work, which can only deal with time-varying delay.

关键词:  , fault detection , networked control systems (NCSs), delay,
quantization error ,
polytopic uncertainty

Abstract: Abstract:  Problems related to fault detection of
networked control systems (NCSs) with both uncertain time-varying
delay and quantization error are studied in this paper. A novel
model with the form of polytopic uncertainty is given to represent
the influences of both the time-varying delay and the quantization
error, and then the reference model based method is used to design
the residual generator that is robust to both unknown
network-induced delay and unknown inputs. A numerical example is
also given to illustrate the merits of the presented method. The
proposed method can be regarded as an extension of the
authors' former work, which can only deal with time-varying delay.

Key words:  , fault detection , networked control systems (NCSs), delay,
quantization error ,
polytopic uncertainty

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