2022
DOI: 10.1109/lcsys.2021.3131607
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Discrete Reachability Analysis With Bounded Error Sets

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Cited by 2 publications
(3 citation statements)
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“…To handle growth in set memory complexity over time steps, set propagation methods often utilize over-approximations to reduce complexity. Using techniques from [21], overapproximations of the reachable set are taken periodically every three time steps beginning at k = 3, resulting in 4 total approximations that took an average of 49 seconds each to compute, in a manner similar to [34]. At the time steps corresponding to over-approximations, the set is first saved and analyzed before being over-approximated.…”
Section: Numerical Examplesmentioning
confidence: 99%
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“…To handle growth in set memory complexity over time steps, set propagation methods often utilize over-approximations to reduce complexity. Using techniques from [21], overapproximations of the reachable set are taken periodically every three time steps beginning at k = 3, resulting in 4 total approximations that took an average of 49 seconds each to compute, in a manner similar to [34]. At the time steps corresponding to over-approximations, the set is first saved and analyzed before being over-approximated.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…Table II compares the complexity of the three methods, demonstrating how Proposition 1 enables more scalable overapproximations of the bilinear function as sampling is increased and over-approximations become more accurate. Figure 4 plots over-approximation of the bilinear function using all three methods corresponding to Case (6,17,34) in Table II. The partitioning in Figure 4(a) and Figure 4(c) corresponds to sampling in the (x, y) space while the partitioning in Figure 4(b) corresponds to sampling in the (u, v) space.…”
Section: B Reduced Memory Complexity For Bilinear Functionmentioning
confidence: 99%
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