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    • ARC Code TI: Optimal Alarm System Design and Implementation

    Metadata Updated: December 6, 2023

    An optimal alarm system can robustly predict a level-crossing event that is specified over a fixed prediction horizon. The code contained in this packages provides the tools necessary to design an optimal alarm system for a simple stationary linear dynamic system driven by white Gaussian noise.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date December 6, 2023
    Data Update Frequency irregular

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date December 6, 2023
    Publisher Ames Research Center
    Maintainer
    Identifier OCIO-Fitara-132
    Data First Published 2015-01-07
    Data Last Modified 2020-01-29
    Category Management/Operations
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 4b7e2120-731f-4655-8a98-a2f5d6673ace
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL http://ti.arc.nasa.gov/opensource/projects/optimalalarm/
    Program Code 026:046
    Source Datajson Identifier True
    Source Hash a5f1a6019c2e2159501e6d48e7ac561635abebd765f184df38da3201fb9149c5
    Source Schema Version 1.1

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