collaborators

6 papers

eess.SY2025

Combinatorial Control Barrier Functions: Nested Boolean and p-choose-r Compositions of Safety Constraints

Pio Ong, Haejoon Lee, Tamas G. Molnar +2

This paper investigates the problem of composing multiple control barrier functions (CBFs) -- and matrix control barrier functions (MCBFs) -- through logical and combinatorial oper…

eess.SY2025

On the Properties of Optimal-Decay Control Barrier Functions

Pio Ong, Max H. Cohen, Tamas G. Molnar +1

Control barrier functions provide a powerful means for synthesizing safety filters that ensure safety framed as forward set invariance. Key to CBFs' effectiveness is the simple ine…

eess.SY2025

Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions

Tamas G. Molnar, Suresh K. Kannan, James Cunningham +3

Safety-critical failures often have fatal consequences in aerospace control. Control systems on aircraft, therefore, must ensure the strict satisfaction of safety constraints, pref…

eess.SY2024

Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics

David E. J. van Wijk, Samuel Coogan, Tamas G. Molnar +2

Obtaining a controlled invariant set is crucial for safety-critical control with control barrier functions (CBFs) but is non-trivial for complex nonlinear systems and constraints.…

eess.SY2024

Rectified Control Barrier Functions for High-Order Safety Constraints

Pio Ong, Max H. Cohen, Tamas G. Molnar +1

This paper presents a novel approach for synthesizing control barrier functions (CBFs) from high relative degree safety constraints: Rectified CBFs (ReCBFs). We begin by discussing…

eess.SY2024

Safety-Critical Controller Synthesis with Reduced-Order Models

Max H. Cohen, Noel Csomay-Shanklin, William D. Compton +2

Reduced-order models (ROMs) provide lower dimensional representations of complex systems, capturing their salient features while simplifying control design. Building on previous wo…