Inverse-Optimal Safety Control for Hybrid Systems
We study control design methods to endow hybrid systems under disturbances with safety guarantees as an inverse-optimality problem. First, we provide sufficient conditions to guarantee input-to-state safety of a hybrid system with disturbance inputs only. Next, given a nominal feedback law, we show that a hybrid system, with inputs and disturbances, can be rendered input-to-state controlled safe under the existence of a control barrier function (CBF) using pointwise min-norm safeguarding feedback laws. Finally, we demonstrate that every CBF is a meaningful value function for a two-player zero-sum hybrid game in the context of safety, and that every pointwise min-norm safeguarding feedback law is optimal for such a game, even though its design is independent of any cost functional. The main results are illustrated in an example.
Authors
- Santiago J. Leudo (ORCID: https://orcid.org/0000-0002-8996-4679)
- Ricardo G. Sanfelice (ORCID: https://orcid.org/0000-0002-6671-5362)
- Carlos A. Montenegro G. (ORCID: https://orcid.org/0009-0004-5710-9039)
Institutions
- University of California, Santa Cruz (US)
Publication Details
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1145/3716863.3718044
- Citations
- 1
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Science Foundation
- Air Force Office of Scientific Research
- Army Research Office
- Air Force Research Laboratory