Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (1): 214-223.doi: 10.23919/JSEE.2023.000025

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

Robust fault detection for delta operator switched fuzzy systems with bilateral packet losses

Yamin FAN(), Duanjin ZHANG()   

  1. 1 School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
  • Received:2021-05-26 Online:2023-02-18 Published:2023-03-03
  • Contact: Duanjin ZHANG;
  • About author:
    FAN Yamin was born in 1996. She received her B.S. degree from Henan University of Technology, China, in 2018. She is currently pursuing her M.S. degree in information and communication engineering at Zhengzhou University. Her research interests include fault detection, networked control systems, and Takagi-Sugeno (T-S) fuzzy model. E-mail:

    ZHANG Duanjin was born in1966. He received his B.S. degree from Northeastern University, China, in 1986 and Ph.D. degree from Nanjing University of Science and Technology in 1998 in electrical engineering. He was the postdoctoral fellow with South China University of Technology from 1999 to 2001. He was with the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Germany from 2005 to 2006 as visiting scholar. He is currently a professor with the School of Information Engineering, Zhengzhou University, China. His research interests include fault detection, networked control systems and signal processing. E-mail:
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61471323)


Considering packet losses, time-varying delay, and parameter uncertainty in the switched fuzzy system, this paper designs a robust fault detection filter at any switching rate and analyzes the H performance of the system. Firstly, the Takagi-Sugeno (T-S) fuzzy model is used to establish a global fuzzy model for the uncertain nonlinear time-delay switched system, and the packet loss process is modeled as a mathematical model satisfying Bernoulli distribution. Secondly, through the average dwell time method and multiple Lyapunov functions, the exponentially stable condition of the nonlinear network switched system is given. Finally, specific parameters of the robust fault detection filter can be obtained by solving linear matrix inequalities (LMIs). The effectiveness of the method is verified by simulation results.

Key words: switched fuzzy system, robust fault detection, time-varying delay, bilateral packet losses, uncertainty, average dwell time method