Optimal sensor configuration for complex systems

  • Payman Sadegh
  • , J. C. Spall

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Abstract

    Considers the problem of sensor configuration for complex systems. Our approach involves definition of an appropriate optimality criterion or performance measure, and description of an efficient and practical algorithm for achieving the optimality objective. The criterion for optimal sensor configuration is based on maximizing the overall sensor response while minimizing the correlation among the sensor outputs. The procedure for sensor configuration is based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the approach with the optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam
    Original languageEnglish
    Title of host publicationIntelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
    PublisherIEEE
    Publication date1998
    Pages376-380
    ISBN (Print)0-7803-4423-5
    DOIs
    Publication statusPublished - 1998
    Event1998 IEEE International Symposium on Intelligent Control (ISIC) and IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), and Intelligent Systems and Semiotics (ISAS) - Gaithersburg, United States
    Duration: 14 Sept 199817 Sept 1998
    https://ieeexplore.ieee.org/xpl/conhome/5771/proceeding

    Conference

    Conference1998 IEEE International Symposium on Intelligent Control (ISIC) and IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), and Intelligent Systems and Semiotics (ISAS)
    Country/TerritoryUnited States
    CityGaithersburg
    Period14/09/199817/09/1998
    Internet address

    Bibliographical note

    Copyright: 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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