From Bundles to Backstepping: Geometric Control Barrier Functions for Safety-Critical Control on Manifolds

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: de Sa, Massimiliano, Ong, Pio, Ames, Aaron D.
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866911228050276352
author de Sa, Massimiliano
Ong, Pio
Ames, Aaron D.
author_facet de Sa, Massimiliano
Ong, Pio
Ames, Aaron D.
contents Control barrier functions (CBFs) have a well-established theory in Euclidean spaces, yet still lack general formulations and constructive synthesis tools for systems evolving on manifolds common in robotics and aerospace applications. In this paper, we develop a general theory of geometric CBFs on bundles and, for control-affine systems, recover the standard optimization-based CBF controllers and their smooth analogues. Then, by generalizing kinetic energy-based CBF backstepping to Riemannian manifolds, we provide a constructive CBF synthesis technique for geometric mechanical systems, as well as easily verifiable conditions under which it succeeds. Further, this technique utilizes mechanical structure to avoid computations on higher-order tangent bundles. We demonstrate its application to an underactuated satellite on SO(3).
format Preprint
id arxiv_https___arxiv_org_abs_2510_20202
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From Bundles to Backstepping: Geometric Control Barrier Functions for Safety-Critical Control on Manifolds
de Sa, Massimiliano
Ong, Pio
Ames, Aaron D.
Systems and Control
Optimization and Control
Control barrier functions (CBFs) have a well-established theory in Euclidean spaces, yet still lack general formulations and constructive synthesis tools for systems evolving on manifolds common in robotics and aerospace applications. In this paper, we develop a general theory of geometric CBFs on bundles and, for control-affine systems, recover the standard optimization-based CBF controllers and their smooth analogues. Then, by generalizing kinetic energy-based CBF backstepping to Riemannian manifolds, we provide a constructive CBF synthesis technique for geometric mechanical systems, as well as easily verifiable conditions under which it succeeds. Further, this technique utilizes mechanical structure to avoid computations on higher-order tangent bundles. We demonstrate its application to an underactuated satellite on SO(3).
title From Bundles to Backstepping: Geometric Control Barrier Functions for Safety-Critical Control on Manifolds
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2510.20202