From Points to Sets: Set-Based Safety Verification in the Latent Space

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Wu, Wenyuan, Xie, Peng, Zhang, Zhen, Huang, Yanliang, Johansson, Karl H., Alanwar, Amr
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866910108856877056
author Wu, Wenyuan
Xie, Peng
Zhang, Zhen
Huang, Yanliang
Johansson, Karl H.
Alanwar, Amr
author_facet Wu, Wenyuan
Xie, Peng
Zhang, Zhen
Huang, Yanliang
Johansson, Karl H.
Alanwar, Amr
contents We extend latent representation methods for safety control design to set-valued states. Recent work has shown that barrier functions designed in a learned latent space can transfer safety guarantees back to the original system, but these methods evaluate certificates at single state points, ignoring state uncertainty. A fixed safety margin can partially address this but cannot adapt to the anisotropic and time-varying nature of the uncertainty gap across different safety constraints. We instead represent the system state as a zonotope, propagate it through the encoder to obtain a latent zonotope, and evaluate certificates over the worst case of the entire set. On a 16-dimensional quadrotor suspended-load gate passage task, set-valued evaluation achieves 5/5 collision-free passages, compared to 1/5 for point-based evaluation and 2/5 for a fixed-margin baseline. Set evaluation reports safety in 44.4% of per-head evaluations versus 48.5% for point-based, and this greater conservatism detects 4.1% blind spots where point evaluation falsely certifies safety, enabling earlier corrective control. The safety gap between point and set evaluation varies up to $12\times$ across certificate heads, explaining why no single fixed margin suffices and confirming the need for per-head, per-timestep adaptation, which set evaluation provides by construction.
format Preprint
id arxiv_https___arxiv_org_abs_2604_05799
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle From Points to Sets: Set-Based Safety Verification in the Latent Space
Wu, Wenyuan
Xie, Peng
Zhang, Zhen
Huang, Yanliang
Johansson, Karl H.
Alanwar, Amr
Systems and Control
We extend latent representation methods for safety control design to set-valued states. Recent work has shown that barrier functions designed in a learned latent space can transfer safety guarantees back to the original system, but these methods evaluate certificates at single state points, ignoring state uncertainty. A fixed safety margin can partially address this but cannot adapt to the anisotropic and time-varying nature of the uncertainty gap across different safety constraints. We instead represent the system state as a zonotope, propagate it through the encoder to obtain a latent zonotope, and evaluate certificates over the worst case of the entire set. On a 16-dimensional quadrotor suspended-load gate passage task, set-valued evaluation achieves 5/5 collision-free passages, compared to 1/5 for point-based evaluation and 2/5 for a fixed-margin baseline. Set evaluation reports safety in 44.4% of per-head evaluations versus 48.5% for point-based, and this greater conservatism detects 4.1% blind spots where point evaluation falsely certifies safety, enabling earlier corrective control. The safety gap between point and set evaluation varies up to $12\times$ across certificate heads, explaining why no single fixed margin suffices and confirming the need for per-head, per-timestep adaptation, which set evaluation provides by construction.
title From Points to Sets: Set-Based Safety Verification in the Latent Space
topic Systems and Control
url https://arxiv.org/abs/2604.05799