Fault detection and isolation based on adaptive observers for linear time varying systems

Aiping Xu, Qinghua Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

6 Citations (Scopus)


A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.
Original languageEnglish
Title of host publication15th IFAC World Congress
Number of pages6
Publication statusPublished - 2002
Externally publishedYes
Event15th Triennial World Congress 2002 - Barcelona, Spain
Duration: 21 Jul 200226 Jul 2002
Conference number: 15


Conference15th Triennial World Congress 2002


  • Fault detection and isolation
  • Linear time varying system
  • Adaptive algorithms

Fingerprint Dive into the research topics of 'Fault detection and isolation based on adaptive observers for linear time varying systems'. Together they form a unique fingerprint.

Cite this