• DocumentCode
    996122
  • Title

    Fault detection in a mixed H2/H setting

  • Author

    Khosrowjerdi, M.J. ; Nikoukhah, R. ; Safari-Shad, N.

  • Author_Institution
    Dept. of Electr. Eng., Sahand Univ. of Technol., Tabriz, Iran
  • Volume
    50
  • Issue
    7
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    1063
  • Lastpage
    1068
  • Abstract
    In this note, we study the problem of fault detection in linear time-invariant (LTI) systems which are simultaneously effected by two classes of unknown inputs: Noises having fixed spectral densities and unknown finite energy disturbances. This problem is formulated as a mixed H2/H filtering problem. Necessary and sufficient conditions for local optimality are presented. Moreover, it is shown that suboptimal solutions can be computed by solving a convex minimization problem with a set of linear matrix inequality (LMI) constrains. A numerical example is given to illustrate the advantage of the mixed H2/H approach as compared to existing techniques which are based on optimization of H2 and H criteria.
  • Keywords
    H optimisation; convex programming; filtering theory; linear matrix inequalities; linear systems; minimisation; optimal systems; reliability theory; convex minimization problem; fault detection; filtering problem; linear matrix inequality; linear time-invariant systems; local optimality; mixed H2/H setting; noises; suboptimal solutions; unknown finite energy disturbances; Digital filters; Fault detection; Filtering; H infinity control; Kalman filters; Noise generators; Noise reduction; Noise robustness; Riccati equations; Symmetric matrices; Linear matrix inequalities (LMIs); mixed; robust fault detection;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2005.851464
  • Filename
    1463317