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                <identifier>oai:data.mendeley.com/mrxdhzjh4p.1</identifier>
                <datestamp>2026-09-29T12:51:17Z</datestamp>
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    <dc:creator>ZENG, YIKUN</dc:creator>
    <dc:title>Simulation Data and Code for Exponential-History Covariance Compression for Grünwald–Letnikov Filtering</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides Python code, simulation inputs and numerical results supporting “Exponential-History Covariance Compression for Grünwald–Letnikov Filtering”. It includes the seven-method comparison, full-precision system models and exponential poles, and the 18-system four-policy ablation. See README.md for installation, reproduction commands and validation scope. Some historical kernel-check inputs and the original timing environment are unavailable; the package does not support complete reproduction of every historical experiment.</dc:description>
    <dc:subject>Kalman Filtering</dc:subject>
    <dc:subject>Fractional Calculus</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/mrxdhzjh4p.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/mrxdhzjh4p.1</dc:identifier>
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    <dc:date>2026-09-29T12:51:17Z</dc:date>
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