activity
20192021
most citedModel Predictive Control Framework for Improving Vehicle Cornering Performance Using Handling Characteristics

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

collaborators

5 papers

eess.SY2021★ 1 cited

Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed Integer Nonlinear Programming

Nan Li, Kyoungseok Han, Ilya Kolmanovsky +1

In this paper, we propose an approach to coordinated receding-horizon control of vehicle speed and transmission gearshift for automated battery electric vehicles (BEVs) to achieve…

eess.SY2020

Action Governor for Discrete-Time Linear Systems with Non-Convex Constraints

Nan Li, Kyoungseok Han, Anouck Girard +3

This paper introduces an add-on, supervisory scheme, referred to as Action Governor (AG), for discrete-time linear systems to enforce exclusion-zone avoidance requirements. It does…

eess.SY2019★ 1 cited

Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information

Kyoungseok Han, Nan Li, Ilya Kolmanovsky +4

This paper addresses the co-optimization of speed and gearshift control for battery electric vehicles using short-range traffic information. To achieve greater electric motor effic…

eess.SY2019

Adaptive Robust Game-Theoretic Decision Making for Autonomous Vehicles

Gokul S. Sankar, Kyoungseok Han

In a typical traffic scenario, autonomous vehicles are required to share the road with other road participants, e.g., human driven vehicles, pedestrians, etc. To successfully navig…

eess.SY2019★ 3 cited

Model Predictive Control Framework for Improving Vehicle Cornering Performance Using Handling Characteristics

Kyoungseok Han, Giseo Park, Gokul S. Sankar +2

This paper proposes a new control strategy to improve vehicle cornering performance in a model predictive control framework. The most distinguishing feature of the proposed method…