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20182022
most citedAccelerating Quadratic Optimization with Reinforcement Learning

20 citations · 53 across the 20 of their papers we have counts for

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5 papers · 1 filter

math.OC2020

Output-Lifted Learning Model Predictive Control

Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli

We propose a computationally efficient Learning Model Predictive Control (LMPC) scheme for constrained optimal control of a class of nonlinear systems where the state and input can…

math.OC2019

Eco-driving with Learning Model Predictive Control

Yeojun Kim, Samuel Tay, Jacopo Guanetti +1

We present a predictive cruise controller which iteratively improves the fuel economy of a vehicle traveling along the same route every day. Our approach uses historical data from…

math.OC2019

Balancing Safety and Traffic Throughput in Cooperative Vehicle Platooning

Stanley W. Smith, Yeojun Kim, Jacopo Guanetti +3

In this paper we propose a distributed model predictive control architecture to coordinate the longitudinal motion of a vehicle platoon at a signalized intersection. Our control ap…

math.OC2018

Robust Model Predictive Control with Adjustable Uncertainty Sets

Yeojun Kim, Xiaojing Zhang, Jacopo Guanetti +1

In this paper, we present Robust Model Predictive Control (MPC) problems with adjustable uncertainty sets. In contrast to standard Robust MPC problems with known uncertainty sets,…

math.OC2018

Robust Eco-Driving Control of Autonomous Vehicles Connected to Traffic Lights

Chao Sun, Jacopo Guanetti, Francesco Borrelli +1

This paper focuses on the speed planning problem for connected and automated vehicles (CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalize…