most citedCooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2020

Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures

Laurel N. Dunn, Ioanna Kavvada, Mathilde Badoual +1

Failure probabilities for grid components are often estimated using parametric models which can capitalize on operational grid data. This work formulates a Bayesian hierarchical fr…

eess.SY2020

On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems

Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow +1

Real-time altitude control of airborne wind energy (AWE) systems can improve performance by allowing turbines to track favorable wind speeds across a range of operating altitudes.…

eess.SY2019

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station

Sangjae Bae, Teng Zeng, Bertrand Travacca +1

As the plug-in electric vehicle (PEV) market expands worldwide, PEV penetration has out-paced public PEV charging accessibility. In addition to charging infrastructure deployment,…

cs.RO20193 cited

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network

Sangjae Bae, Dhruv Saxena, Alireza Nakhaei +3

This paper presents a real-time lane change control framework of autonomous driving in dense traffic, which exploits cooperative behaviors of other drivers. This paper focuses on h…

math.OC20192 cited

Solving Overstay in PEV Charging Station Planning via Chance Constrained Optimization

Teng Zeng, Hongcai Zhang, Scott Moura

Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied b…