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PreprintCC BY 4.0arXiv

Singular Perturbations for Control Systems Safety

Abstract

Control Barrier Functions (CBFs) offer a powerful theory for enforcing safety in dynamical systems. Yet, applying this framework to complex systems is challenging when subsystems are feedback-interconnected and operate at different timescales. Such structures arise naturally in multiphysics systems and in control architectures where physical plants interact with optimization, estimation, and control algorithms. In many of these settings, safety involves only part of the system, motivating the design of reduced-order certificates. Inspired by singular perturbation theory, we establish sufficient conditions, involving separation between slow and fast dynamics, under which a reduced-order safety certificate can be lifted to the full interconnected system. Specifically, we construct a composite CBF ensuring forward invariance of a lifted subset of the original safe set. We also show that the certified safe set expands monotonically as the tuning parameter accelerating the fast dynamics is reduced. Numerical results validate the approach on two robotic systems: a planar 2-DoF manipulator with motor dynamics and a 6-DoF UR10e manipulator controlled by a suboptimal optimization algorithm.

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BibTeX
@misc{gregorio2026singular,
  title = {{Singular Perturbations for Control Systems Safety}},
  author = {Stefano Di Gregorio and Guido Carnevale and Giuseppe Notarstefano},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.01266},
  eprint = {2611.01266},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.01266},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Singular Perturbations for Control Systems Safety
AU  - Stefano Di Gregorio
AU  - Guido Carnevale
AU  - Giuseppe Notarstefano
PY  - 2026
DA  - 2026/11/01
PB  - arXiv
DO  - 10.48550/arxiv.2611.01266
UR  - https://arxiv.org/abs/2611.01266
AB  - Control Barrier Functions (CBFs) offer a powerful theory for enforcing safety in dynamical systems. Yet, applying this framework to complex systems is challenging when subsystems are feedback-interconnected and operate at different timescales. Such structures arise naturally in multiphysics systems and in control architectures where physical plants interact with optimization, estimation, and control algorithms. In many of these settings, safety involves only part of the system, motivating the design of reduced-order certificates. Inspired by singular perturbation theory, we establish sufficient conditions, involving separation between slow and fast dynamics, under which a reduced-order safety certificate can be lifted to the full interconnected system. Specifically, we construct a composite CBF ensuring forward invariance of a lifted subset of the original safe set. We also show that the certified safe set expands monotonically as the tuning parameter accelerating the fast dynamics is reduced. Numerical results validate the approach on two robotic systems: a planar 2-DoF manipulator with motor dynamics and a 6-DoF UR10e manipulator controlled by a suboptimal optimization algorithm.
ER  -