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    <responseDate>2026-10-14T16:46:57Z</responseDate>
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    <identifier>10.57760/sciencedb.45481</identifier>
    <datestamp>2026-08-14T10:15:39Z</datestamp>
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  <dc:date>2026-08-14</dc:date>
  <dc:title>Associated Data for &amp;ldquo;Winning Region Computation and Analysis of a UAV&amp;ndash;Vehicle Pursuit&amp;ndash;Evasion Game Based on Smooth Approximation&amp;rdquo;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.45481</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the associated data for the paper entitled &amp;ldquo;Winning Region Computation and Analysis of a UAV&amp;ndash;Vehicle Pursuit&amp;ndash;Evasion Game Based on Smooth Approximation.&amp;rdquo; It includes numerical solutions of the four-dimensional Hamilton&amp;ndash;Jacobi&amp;ndash;Isaacs variational inequality for a heterogeneous UAV&amp;ndash;vehicle pursuit&amp;ndash;evasion game and the data supporting Figures 2&amp;ndash;12 and Tables 1&amp;ndash;2 of the paper. The dataset covers comparisons between the original nonsmooth model and its smooth approximation, numerical reliability tests, closed-loop trajectory statistics, and parameter-sweep results concerning the effects of the speed ratio, angular-rate ratio, and capture radius on the winning region. The principal experimental parameters, file descriptions, and mappings between the data files and the figures and tables are also provided to support verification and further analysis of the main numerical results.</dc:description>
  <dc:subject>UAV–vehicle pursuit–evasion game; winning region; Hamilton–Jacobi–Isaacs variational inequality; smooth approximation; parameter analysis</dc:subject>
  <dc:creator>Liu Shuxia</dc:creator>
  <dc:creator>Yuan Yuan</dc:creator>
  <dc:creator>Yuan Huanhuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/mit</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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