There is a newer version of the record available.

Published January 23, 2023 | Version Submitted v1
Discussion Paper Open

Barrier-Based Test Synthesis for Safety-Critical Systems Subject to Timed Reach-Avoid Specifications

Abstract

We propose an adversarial, time-varying test-synthesis procedure for safety-critical systems without requiring specific knowledge of the underlying controller steering the system. From a broader test and evaluation context, determination of difficult tests of system behavior is important as these tests would elucidate problematic system phenomena before these mistakes can engender problematic outcomes, e.g. loss of human life in autonomous cars, costly failures for airplane systems, etc. Our approach builds on existing, simulation-based work in the test and evaluation literature by offering a controller-agnostic test-synthesis procedure that provides a series of benchmark tests with which to determine controller reliability. To achieve this, our approach codifies the system objective as a timed reach-avoid specification. Then, by coupling control barrier functions with this class of specifications, we construct an instantaneous difficulty metric whose minimizer corresponds to the most difficult test at that system state. We use this instantaneous difficulty metric in a game-theoretic fashion, to produce an adversarial, time-varying test-synthesis procedure that does not require specific knowledge of the system's controller, but can still provably identify realizable and maximally difficult tests of system behavior. Finally, we develop this test-synthesis procedure for both continuous and discrete-time systems and showcase our test-synthesis procedure on simulated and hardware examples.

Copyright and License

Attribution 4.0 International (CC BY 4.0).

Acknowledgement

We would like to thank Ryan Cosner and Wyatt Ubellacker for their tremendous help in running experiments. Additionally, we would like to thank Apurva Badithela and Josefine Graebner for their thought provoking discussions regarding problem formulation and potential solutions. Finally, Prithvi Akella was also supported by the Air Force Office of Scientific Research, grant FA9550-19-1-0302.

Files

2301.09622.pdf

Files (10.4 MB)

Name Size Download all
md5:3224ae016b6c7dbad605b35c6cc098cc
10.4 MB Preview Download

Additional details

Identifiers

Eprint ID
120102
Resolver ID
CaltechAUTHORS:20230316-204032253

Related works

Describes
Discussion Paper: arXiv:2301.09622 (arXiv)
Is previous version of
Journal Article: 10.1109/TAC.2024.3505817 (DOI)

Funding

Air Force Office of Scientific Research (AFOSR)
FA9550-19-1-0302

Dates

Submitted
2023-01-23
Submitted

Caltech Custom Metadata

Caltech groups
Division of Biology and Biological Engineering (BBE)
Publication Status
Submitted