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20232026
most citedLearning Model Predictive Control with Error Dynamics Regression for Autonomous Racing

13 citations · 18 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.MA2024

Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control

Hansung Kim, Edward L. Zhu, Chang Seok Lim +1

We introduce an Implicit Game-Theoretic MPC (IGT-MPC), a decentralized algorithm for two-agent motion planning that uses a learned value function that predicts the game-theoretic i…

eess.SY2024

Energy-efficient predictive control for connected, automated driving under localization uncertainty

Eunhyek Joa, Eric Yongkeun Choi, Francesco Borrelli

This paper presents a data-driven Model Predictive Control (MPC) for energy-efficient urban road driving for connected, automated vehicles. The proposed MPC aims to minimize total…

eess.SY2024

Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation

Xu Shen, Yongkeun Choi, Alex Wong +3

This paper introduces a comprehensive approach to optimize parking efficiency for connected and Automated vehicle (CAVs) fleets. We present a multi-vehicle parking simulator, equip…

cs.RO2024★ 3 cited

Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions

Hansung Kim, Siddharth H. Nair, Francesco Borrelli

We propose a hierarchical architecture designed for scalable real-time Model Predictive Control (MPC) in complex, multi-modal traffic scenarios. This architecture comprises two key…

eess.SY2024

Eco-driving under localization uncertainty for connected vehicles on Urban roads: Data-driven approach and Experiment verification

Eunhyek Joa, Eric Yongkeun Choi, Francesco Borrelli

This paper addresses the eco-driving problem for connected vehicles on urban roads, considering localization uncertainty. Eco-driving is defined as longitudinal speed planning and…

math.OC2024★ 2 cited

Approximate solution of stochastic infinite horizon optimal control problems for constrained linear uncertain systems

Eunhyek Joa, Francesco Borrelli

We propose a Model Predictive Control (MPC) with a single-step prediction horizon to approximate the solution of infinite horizon optimal control problems with the expected sum of…