Optimal input design for fault detection and diagnosis

Payman Sadegh, Henrik Madsen, J. Holst

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    In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation
    Original languageEnglish
    Title of host publicationProceedings of the American Control Conference
    VolumeVolume 2
    Publication date1995
    ISBN (Print)07-80-32445-5
    Publication statusPublished - 1995
    Event1995 American Control Conference - Seattle, WA, United States
    Duration: 21 Jun 199523 Jun 1995


    Conference1995 American Control Conference
    CountryUnited States
    CitySeattle, WA
    Internet address

    Bibliographical note

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