11 citations · 16 across the 7 of their papers we have counts for
7 papers
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…
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…
Leveraging Cooperative Connected Automated Vehicles for Mixed Traffic Safety
Chenguang Zhao, Tamas G. Molnar, Huan Yu
The introduction of connected and automated vehicles (CAV) is believed to reduce congestion, enhance safety, and improve traffic efficiency. Numerous research studies have focused…
On the Safety of Connected Cruise Control: Analysis and Synthesis with Control Barrier Functions
Tamas G. Molnar, Gabor Orosz, Aaron D. Ames
Connected automated vehicles have shown great potential to improve the efficiency of transportation systems in terms of passenger comfort, fuel economy, stability of driving behavi…
Parameterized Barrier Functions to Guarantee Safety under Uncertainty
Anil Alan, Tamas G. Molnar, Aaron D. Ames +1
Deploying safety-critical controllers in practice necessitates the ability to modulate uncertainties in control systems. In this context, robust control barrier functions -- in a v…
Safety-Critical Control with Bounded Inputs via Reduced Order Models
Tamas G. Molnar, Aaron D. Ames
Guaranteeing safe behavior on complex autonomous systems -- from cars to walking robots -- is challenging due to the inherently high dimensional nature of these systems and the cor…