Fault-Tolerant Reduced-Order Asynchronous Networked Filtering of 2-D Bernoulli Jump Systems

Jianping Zhou, Xiaofeng Ma, Zhilian Yan, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review


This article is devoted to asynchronous networked filtering against sensor failures for a class of two-dimensional (2-D) Bernoulli jump systems. The purpose is to design a fault-tolerant reduced-order asynchronous (FTROA) filter that ensures asymptotic mean-square stability and H_2 disturbance-attenuation performance for the resulting filtering error system, characterized by a bi-mode-jumping property. A hidden Bernoulli model is adopted to characterize asynchronous mode switching between the original 2-D system and the designed filter. A sufficient condition on the stability and H2 performance is proposed. Based on the condition, a method of the needed FTROA filter is developed in terms of linear matrix inequalities by introducing an order-dependent slack matrix. Considering the calculation complexity, an alternative filter design is further presented by resorting to suitable matrix splittings and the projection theorem. Compared to the former, the latter is shown to be capable of significantly mitigating the computational burden while maintaining the desired performance. Finally, an actual example concerning the metal rolling process is provided to verify the effectiveness of the presented filter design methods.

Original languageEnglish
Pages (from-to)891-902
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number2
Publication statusPublished - 2024 Feb 1

Bibliographical note

Publisher Copyright:
© 2013 IEEE.


  • 2-D Bernoulli jump system
  • asynchronous filtering
  • H performance
  • reduced-order filtering
  • sensor failure

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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