From Vertices to Convex Hulls: Certifying Set-Wise Compatibility for CBF Constraints
Preprint
Abstract
This paper develops certificates that propagate compatibility of multiple control barrier function (CBF) constraints from sampled vertices to their convex hull. Under mild concavity and affinity assumptions, we present three sufficient feasibility conditions under which feasible inputs over the convex hull can be obtained per coordinate, with a common input, or via convex blending. We also describe the associated computational methods, based on interval intersections or an offline linear program (LP). Beyond certifying compatibility, we give conditions under which the quadratic-program (QP) safety filter is affine in the state. This enables explicit implementations via convex combinations of vertex-feasible inputs. Case studies illustrate the results.Keywords
All Related Versions
- Version 1, 2026-01-19, ArXiv
- Published version: IEEE Control Systems Letters, 9, 3011.
This publication has 10 references indexed in Scilit:
- Compatibility of Multiple Control Barrier Functions for Constrained Nonlinear Systems2025
- Feasibility of multiple robust control barrier functions for bounding box constraints2025
- Safety Verification and Controller Synthesis for Systems with Input ConstraintsIFAC-PapersOnLine, 2023
- SOS Construction of Compatible Control Lyapunov and Barrier FunctionsIFAC-PapersOnLine, 2023
- Sufficient conditions for feasibility of optimal control problems using Control Barrier FunctionsAutomatica, 2022
- Control Barrier Functions: Theory and Applications2019
- Exponential Control Barrier Functions for enforcing high relative-degree safety-critical constraints2016
- Safety Controller Synthesis for Incrementally Stable Switched Systems Using Multiscale Symbolic ModelsIEEE Transactions on Automatic Control, 2015
- Multirotor Aerial Vehicles: Modeling, Estimation, and Control of QuadrotorIEEE Robotics & Automation Magazine, 2012
- An algorithm for multi-parametric quadratic programming and explicit MPC solutionsAutomatica, 2003