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20182022
most citedLearning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

48 citations · 81 across the 15 of their papers we have counts for

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8 papers · 1 filter

eess.SY2022

Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions

Andrew Singletary, Aiden Swann, Yuxiao Chen +1

This paper details the theory and implementation behind practically ensuring safety of remotely piloted racing drones. We demonstrate robust and practical safety guarantees on a 7"…

eess.SY2020

Online decentralized decision making with inequality constraints: an ADMM approach

Yuxiao Chen, Mario Santillo, Mrdjan Jankovic +1

We discuss an online decentralized decision making problem where the agents are coupled with affine inequality constraints. Alternating Direction Method of Multipliers (ADMM) is us…

eess.SY2020

Control Barrier Functions for Sampled-Data Systems with Input Delays

Andrew Singletary, Yuxiao Chen, Aaron D. Ames

This paper considers the general problem of transitioning theoretically safe controllers to hardware. Concretely, we explore the application of control barrier functions (CBFs) to…

eess.SY2020★ 4 cited

Counter-example Guided Learning of Bounds on Environment Behavior

Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh +1

There is a growing interest in building autonomous systems that interact with complex environments. The difficulty associated with obtaining an accurate model for such environments…

eess.SY2019★ 5 cited

Safety-Critical Control Synthesis for network systems with Control Barrier Functions and Assume-Guarantee Contracts

Yuxiao Chen, James Anderson, Karan Kalsi +2

This paper aims at the safety-critical control synthesis of network systems such that the satisfaction of the safety constraints can be guaranteed. To handle the large state dimens…

eess.SY2019★ 2 cited

System Level Synthesis with State and Input Constraints

Yuxiao Chen, James Anderson

This paper addresses the problem of designing distributed controllers with state and input constraints in the System Level Synthesis (SLS) framework. Using robust optimization, we…

eess.SY2019★ 7 cited

Duality between density function and value function with applications in constrained optimal control and Markov Decision Process

Yuxiao Chen, Aaron D. Ames

Density function describes the density of states in the state space of a dynamic system or a Markov Decision Process (MDP). Its evolution follows the Liouville equation. We show th…

eess.SY2018★ 1 cited

Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts

Yuxiao Chen, James Anderson, Karan Kalsi +2

This paper presents an assume-guarantee reasoning approach to the computation of robust invariant sets for network systems. Parameterized signal temporal logic (pSTL) is used to fo…