Efficient Shield Synthesis via State-Space Transformation

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Abstract

We consider the problem of synthesising safety strategies for control systems, also known as shields. Since the state space is infinite, shields are typically computed over a finite-state abstraction, with the most common abstraction being a rectangular grid. However, for many systems, such a grid does not align well with the safety property or the system dynamics. That is why a coarse grid is rarely sufficient, but a fine grid is typically computationally infeasible to obtain. In this paper, we show that appropriate state-space transformations can still allow to use a coarse grid at almost no computational overhead. We demonstrate in three case studies that our transformation-based synthesis outperforms a standard synthesis by several orders of magnitude. In the first two case studies, we use domain knowledge to select a suitable transformation. In the third case study, we instead report on results in engineering a transformation without domain knowledge.
Original languageEnglish
Title of host publicationBridging the Gap Between AI and Reality : Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Proceedings
EditorsSteffen Bernhard
Number of pages19
PublisherSpringer
Publication date2024
Pages206-224
ISBN (Print)978-3-031-75433-3
ISBN (Electronic)978-3-031-75434-0
DOIs
Publication statusPublished - 2024
EventAISoLA 2024
- Crete, Greece
Duration: 30 Oct 20243 Nov 2024

Conference

ConferenceAISoLA 2024
Country/TerritoryGreece
CityCrete
Period30/10/202403/11/2024
SeriesLecture Notes in Computer Science
Volume15217
ISSN0302-9743

Bibliographical note

We thank Tom Henzinger for the suggestion to study level sets.

Keywords

  • safety
  • control system
  • synthesis
  • shielding
  • state-space transformation
  • finite-state abstraction

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