collaborators

8 papers

eess.SY2026

Safety Filtering with an Infinite Number of Constraints

Max H. Cohen, Pio Ong, Pol Mestres +1

Control barrier functions (CBFs) provide a rigorous framework for designing controllers enforcing safety constraints. While CBF theory is well-developed for a finite number of safe…

eess.SY2026

Probabilistic Control Barrier Functions for Systems with State Estimation Uncertainty using Sub-Gaussian Concentration

Kazuya Echigo, David E. J. van Wijk, Pol Mestres +3

Safety-critical control systems, such as spacecraft performing proximity operations, must provide formal safety guarantees despite stochastic uncertainties from state estimation an…

eess.SY2026

Structure, Feasibility, and Explicit Safety Filters for Linear Systems

Shima Sadat Mousavi, Max H. Cohen, Pol Mestres +1

Safety filters based on control barrier functions (CBFs) and high-order control barrier functions (HOCBFs) are often implemented through quadratic programs (QPs). In general, espec…

eess.SY2026

Stability Margins of CBF-QP Safety Filters: Analysis and Synthesis

Shima Sadat Mousavi, Pol Mestres, Aaron D. Ames

Control barrier function (CBF)-QP safety filters enforce safety by minimally modifying a nominal controller. While prior work has mainly addressed robustness of safety under uncert…

eess.SY2026

Safe Policy Optimization via Control Barrier Function-based Safety Filters

Yiting Chen, Pol Mestres, Emiliano Dall'Anese +1

Control barrier function (CBF)-based safety filters provide a systematic way to enforce state constraints, but they can significantly alter the closed-loop dynamics induced by a no…

eess.SY2025

Explicit Control Barrier Function-based Safety Filters and their Resource-Aware Computation

Pol Mestres, Shima Sadat Mousavi, Pio Ong +4

This paper studies the efficient implementation of safety filters that are designed using control barrier functions (CBFs), which minimally modify a nominal controller to render it…