Open AccessRobust fault detection and isolation for a class of uncertain single output non‐linear systems
Author(s) -
Li XiaoJian,
Yang GuangHong
Publication year - 2014
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2013.0754
Subject(s) - fault detection and isolation , control theory (sociology) , observer (physics) , linear system , state (computer science) , computer science , state observer , robust control , fault (geology) , mathematics , engineering , control system , control (management) , nonlinear system , algorithm , artificial intelligence , actuator , mathematical analysis , physics , quantum mechanics , seismology , geology , electrical engineering
The problem of robust fault detection and isolation (FDI) is studied for a class of uncertain single output non‐linear systems with q faults. By designing a switching law, a robust state observer is developed such that its state responses can asymptotically converge to the true system states for both fault‐free and faulty cases. Based on this robust state observer and other q + 1 FDI observers, an efficient scheme is presented such that the FDI can be achieved for the considered single output non‐linear systems. The theoretical results are illustrated through an example of a single‐link flexible joint robot.