Computing Safe Control Inputs using Discrete-Time Matrix Control Barrier Functions via Convex Optimization

Fuente: arXiv
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Main Authors: Usevitch, James, Salazar, Juan Augusto Paredes, Goel, Ankit
Format: Preprint
Published: 2025
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author Usevitch, James
Salazar, Juan Augusto Paredes
Goel, Ankit
author_facet Usevitch, James
Salazar, Juan Augusto Paredes
Goel, Ankit
contents Control barrier functions (CBFs) have seen widespread success in providing forward invariance and safety guarantees for dynamical control systems. A crucial limitation of discrete-time formulations is that CBFs that are nonconcave in their argument require the solution of nonconvex optimization problems to compute safety-preserving control inputs, which inhibits real-time computation of control inputs guaranteeing forward invariance. This paper presents a novel method for computing safety-preserving control inputs for discrete-time systems with nonconvex safety sets, utilizing convex optimization and the recently developed class of matrix control barrier function techniques. The efficacy of our methods is demonstrated through numerical simulations on a bicopter system.
format Preprint
id arxiv_https___arxiv_org_abs_2510_09925
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computing Safe Control Inputs using Discrete-Time Matrix Control Barrier Functions via Convex Optimization
Usevitch, James
Salazar, Juan Augusto Paredes
Goel, Ankit
Systems and Control
Robotics
Control barrier functions (CBFs) have seen widespread success in providing forward invariance and safety guarantees for dynamical control systems. A crucial limitation of discrete-time formulations is that CBFs that are nonconcave in their argument require the solution of nonconvex optimization problems to compute safety-preserving control inputs, which inhibits real-time computation of control inputs guaranteeing forward invariance. This paper presents a novel method for computing safety-preserving control inputs for discrete-time systems with nonconvex safety sets, utilizing convex optimization and the recently developed class of matrix control barrier function techniques. The efficacy of our methods is demonstrated through numerical simulations on a bicopter system.
title Computing Safe Control Inputs using Discrete-Time Matrix Control Barrier Functions via Convex Optimization
topic Systems and Control
Robotics
url https://arxiv.org/abs/2510.09925