Optimal fault signal estimation

Antonie Arij Stoorvogel, H.H. Niemann, A. Saberi, P. Sannuti

    Research output: Contribution to journalArticleAcademicpeer-review

    51 Citations (Scopus)

    Abstract

    We consider here both fault identification and fault signal estimation. Regarding fault identification, we seek either exact or almost fault identification. On the other hand, regarding fault signal estimation, we seek either $H_2$ optimal, $H_2$ suboptimal or Hinfinity suboptimal estimation. By appropriate combination of these two aspects, we formulate five different fault identification and fault signal estimation problems. We analyse and synthesize appropriate residual generators for fault identification and estimators which generate fault signal estimates for all these problems. Solvability conditions for all these problems are given. Also, for each of these problems, the architecture of integrating the residual generator that isolates the fault and estimators that estimate the fault signals is developed.
    Original languageUndefined
    Article number10.1002/rnc.714
    Pages (from-to)697-727
    Number of pages31
    JournalInternational journal of robust and nonlinear control
    Volume12
    Issue number8
    DOIs
    Publication statusPublished - 2002

    Keywords

    • IR-68902
    • EWI-16626

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