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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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Showing 2019Show all

5 papers · 1 filter

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…

math.OC2019★ 1 cited

Optimal Safe Controller Synthesis: A Density Function Approach

Yuxiao Chen, Mohamadreza Ahmadi, Aaron D. Ames

This paper considers the synthesis of optimal safe controllers based on density functions. We present an algorithm for robust constrained optimal control synthesis using the dualit…

math.OC2019★ 2 cited

Sparsity Preserving Discretization With Error Bounds

James Anderson, Nikolai Matni, Yuxiao Chen

Typically when designing distributed controllers it is assumed that the state-space model of the plant consists of sparse matrices. However, in the discrete-time setting, if one be…

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…