Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Controls

Fuente: arXiv
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Main Author: Liu, Jun
Format: Preprint
Published: 2025
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author Liu, Jun
author_facet Liu, Jun
contents We present verifiable conditions for synthesizing a single smooth Lyapunov function that certifies both asymptotic stability and safety under bounded controls. These sufficient conditions ensure the strict compatibility of a control barrier function (CBF) and a control Lyapunov function (CLF) on the exact safe set certified by the barrier. An explicit smooth control Lyapunov-barrier function (CLBF) is then constructed via a patching formula that is provably correct by design. Two examples illustrate the computational procedure, showing that the proposed approach is less conservative than sum-of-squares (SOS)-based compatible CBF-CLF designs.
format Preprint
id arxiv_https___arxiv_org_abs_2511_10510
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Controls
Liu, Jun
Systems and Control
Optimization and Control
We present verifiable conditions for synthesizing a single smooth Lyapunov function that certifies both asymptotic stability and safety under bounded controls. These sufficient conditions ensure the strict compatibility of a control barrier function (CBF) and a control Lyapunov function (CLF) on the exact safe set certified by the barrier. An explicit smooth control Lyapunov-barrier function (CLBF) is then constructed via a patching formula that is provably correct by design. Two examples illustrate the computational procedure, showing that the proposed approach is less conservative than sum-of-squares (SOS)-based compatible CBF-CLF designs.
title Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Controls
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2511.10510