Search Results for author: Tamas G. Molnar

Found 15 papers, 3 papers with code

Composing Control Barrier Functions for Complex Safety Specifications

no code implementations13 Sep 2023 Tamas G. Molnar, Aaron D. Ames

The increasing complexity of control systems necessitates control laws that guarantee safety w. r. t.

On the Safety of Connected Cruise Control: Analysis and Synthesis with Control Barrier Functions

1 code implementation31 Aug 2023 Tamas G. Molnar, Gabor Orosz, Aaron D. Ames

Finally, we combine the analysis of safety measures and the corresponding stability charts to synthesize safety-critical connected cruise controllers using CBFs.

Parameterized Barrier Functions to Guarantee Safety under Uncertainty

no code implementations20 Mar 2023 Anil Alan, Tamas G. Molnar, Aaron D. Ames, Gábor Orosz

In this context, robust control barrier functions -- in a variety of forms -- have been used to obtain safety guarantees for uncertain systems.

Safety-Critical Control with Bounded Inputs via Reduced Order Models

1 code implementation6 Mar 2023 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 corresponding complex models that may be difficult to determine in practice.

Safety-Critical Traffic Control by Connected Automated Vehicles

no code implementations12 Jan 2023 Huan Yu, Chenguang Zhao, Tamas G. Molnar

Connected automated vehicles (CAVs) have shown great potential in improving traffic throughput and stability.

Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles

no code implementations4 Dec 2022 Sicong Guo, Gabor Orosz, Tamas G. Molnar

This paper considers mixed traffic consisting of connected automated vehicles equipped with vehicle-to-everything (V2X) connectivity and human-driven vehicles.

Control Barrier Functionals: Safety-critical Control for Time Delay Systems

no code implementations16 Jun 2022 Adam K. Kiss, Tamas G. Molnar, Aaron D. Ames, Gabor Orosz

The theory of control barrier functions, that provides formal safety guarantees for delay-free systems, is extended to systems with state delay.

Input-to-State Safety with Input Delay in Longitudinal Vehicle Control

no code implementations29 May 2022 Tamas G. Molnar, Anil Alan, Adam K. Kiss, Aaron D. Ames, Gabor Orosz

Safe longitudinal control is discussed for a connected automated truck traveling behind a preceding connected vehicle.

Safe Backstepping with Control Barrier Functions

no code implementations1 Apr 2022 Andrew J. Taylor, Pio Ong, Tamas G. Molnar, Aaron D. Ames

Complex control systems are often described in a layered fashion, represented as higher-order systems where the inputs appear after a chain of integrators.

Safety-Critical Control with Input Delay in Dynamic Environment

no code implementations15 Dec 2021 Tamas G. Molnar, Adam K. Kiss, Aaron D. Ames, Gábor Orosz

Endowing nonlinear systems with safe behavior is increasingly important in modern control.

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State

1 code implementation28 Apr 2021 Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamas G. Molnar, Katherine L. Bouman, Aaron D. Ames

The increasing complexity of modern robotic systems and the environments they operate in necessitates the formal consideration of safety in the presence of imperfect measurements.

Safety-Critical Control of Compartmental Epidemiological Models with Measurement Delays

no code implementations22 Sep 2020 Tamas G. Molnar, Andrew W. Singletary, Gabor Orosz, Aaron D. Ames

We introduce a methodology to guarantee safety against the spread of infectious diseases by viewing epidemiological models as control systems and by considering human interventions (such as quarantining or social distancing) as control input.

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