Relaxed Fault Estimation of Discrete-Time Nonlinear System Based on a New Multi-Instant Real-Time Scheduling Fuzzy Observer

Xiang Peng Xie, Dong Yue, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

Abstract

Relaxed fault estimation (FE) criteria of a class of discrete-time nonlinear plants are proposed based on a new multi-instant real-time scheduling fuzzy FE observer. Compared with the existing methods given in the recent literature, the newly developed fuzzy observer is capable of providing much freedom for reducing the conservatism of designing feasible FE criteria. At each sampling point, the information of adjacent groups of normalized fuzzy weighting functions can be updated and utilized for deciding the activated mode of our developed fuzzy FE observer. Based on this, an exclusive pair of gain matrices can be given by introducing a set of well-designed free matrices into the designed FE criteria for every activated mode. Moreover, it can be found that the proposed result will include the previous one as a special case if all of those free matrices are removed. Finally, the well-known nonlinear truck-trailer plant with actuator fault is utilized to validate the superiority of our approach over the existing ones reported in the literature.

Original languageEnglish
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Estimation
  • Fault estimation (FE)
  • fault system
  • fuzzy system
  • Iron
  • Job shop scheduling
  • Linear matrix inequalities
  • Lyapunov methods
  • multi-instant scheduling
  • Observers
  • Real-time systems
  • switching observer

ASJC Scopus subject areas

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

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