Research map / Probabilistic and scientific modeling / Dynamical systems
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Split the initial set into 24 smaller hyperrectangles (ablation) | JuliaReach on Unicycle · Unicycle | reachability precision | Helped |
| Use Taylor-model/zonotope conversions that preserve dependencies across control cycles | JuliaReach · ARCH-COMP 2021 NNCS benchmarks | successful benchmark analysis | Helped |
| Use JuliaReach rather than Sherlock | NNCS benchmarks · ACC | runtime (seconds): 4 -> 1 | Helped |
| Use JuliaReach rather than Sherlock | NNCS benchmarks · TORA | runtime (seconds): 30 -> 2040 | Hurt |
| Use JuliaReach rather than Sherlock | NNCS benchmarks · Unicycle | runtime (seconds): 526 -> 93 | Helped |
| Use JuliaReach rather than Sherlock | NNCS benchmarks · Single pendulum | runtime (seconds): 1 -> 1 | No clear effect |
| Use JuliaReach rather than Sherlock | NNCS benchmarks · Airplane | runtime (seconds): 169† -> 29 | Helped |
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