Nan Li

Orcid: 0000-0001-7928-8796

Affiliations:
  • University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI, USA


According to our database1, Nan Li authored at least 52 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Eco-Coasting Controller Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control.
IEEE Trans. Veh. Technol., October, 2023

Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks.
IEEE Trans. Autom. Control., September, 2023

Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios.
IEEE Trans. Intell. Transp. Syst., January, 2023

An Explicit Reference Governor for Linear Sampled-Data Systems With Disturbance Inputs and Uncertain Time Delays.
IEEE Trans. Autom. Control., 2023

2022
Game-Theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation.
IEEE Trans. Intell. Transp. Syst., 2022

Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections.
IEEE Trans. Intell. Transp. Syst., 2022

Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed-Integer Nonlinear Programming.
IEEE Trans. Control. Syst. Technol., 2022

Robust Action Governor for Discrete-Time Piecewise Affine Systems With Additive Disturbances.
IEEE Control. Syst. Lett., 2022

Safe Control and Learning Using Generalized Action Governor.
CoRR, 2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning.
CoRR, 2022

Corrigendum to "Chance-constrained controller state and reference governor" [Automatica 133 (2021) 109864].
Autom., 2022

Cost-Effective Sensing for Goal Inference: A Model Predictive Approach.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Event-Triggered Cloud-based Nonlinear Model Predictive Control with Neighboring Extremal Adaptations.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust Reference Governor for Implicit Systems Using the Metric Regularity.
Proceedings of the American Control Conference, 2022

2021
Fuzzy Encoded Markov Chains: Overview, Observer Theory, and Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2021

An Analytical Safe Approximation to Joint Chance-Constrained Programming With Additive Gaussian Noises.
IEEE Trans. Autom. Control., 2021

Action Governor for Discrete-Time Linear Systems With Non-Convex Constraints.
IEEE Control. Syst. Lett., 2021

Continuous Optimization-Based Drift Counteraction Optimal Control: A Spacecraft Attitude Control Case Study.
CoRR, 2021

Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning.
CoRR, 2021

Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance.
CoRR, 2021

Chance-constrained controller state and reference governor.
Autom., 2021

Safe Reinforcement Learning Using Robust Action Governor.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A Convex Optimization Approach to Chance-Constrained Linear Stochastic Drift Counteraction Optimal Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Cooperation-Aware Decision Making for Autonomous Vehicles in Merge Scenarios.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Continuous Optimization Approach to Drift Counteraction Optimal Control.
Proceedings of the 2021 American Control Conference, 2021

2020
A Reference Governor for Nonlinear Systems With Disturbance Inputs Based on Logarithmic Norms and Quadratic Programming.
IEEE Trans. Autom. Control., 2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information.
CoRR, 2020

Detection-averse optimal and receding-horizon control for Markov decision processes.
Autom., 2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Triggered Measurements in Markov Processes for Entropy-Constrained State Estimation with Application to Precision Agriculture.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Controller Mode and Reference Governor for Constraint and Failure Management in Vehicle Platoon Systems.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning.
Proceedings of the 2020 American Control Conference, 2020

Model-free Learning for Safety-critical Control Systems: A Reference Governor Approach.
Proceedings of the 2020 American Control Conference, 2020

Energy-Efficient Autonomous Vehicle Control Using Reinforcement Learning and Interactive Traffic Simulations.
Proceedings of the 2020 American Control Conference, 2020

Hierarchical Optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
Proceedings of the 2020 American Control Conference, 2020

Spacecraft Relative Motion Planning Using Chained Chance-Constrained Admissible Sets.
Proceedings of the 2020 American Control Conference, 2020

2019
Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
CoRR, 2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving.
CoRR, 2019

Reference governors for chance-constrained systems.
Autom., 2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Model-free Learning to Avoid Constraint Violations: An Explicit Reference Governor Approach.
Proceedings of the 2019 American Control Conference, 2019

A vehicle routing problem with dynamic demands and restricted failures solved using stochastic predictive control.
Proceedings of the 2019 American Control Conference, 2019

Stochastic Driver Modeling and Validation with Traffic Data.
Proceedings of the 2019 American Control Conference, 2019

2018
Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems.
IEEE Trans. Control. Syst. Technol., 2018

Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Tractable Stochastic Predictive Control for Partially Observable Markov Decision Processes with Time-Joint Chance Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Game Theoretic Modeling of Vehicle Interactions at Unsignalized Intersections and Application to Autonomous Vehicle Control.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Model-free optimal control based automotive control system falsification.
Proceedings of the 2017 American Control Conference, 2017

2016
Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Sequential parametric optimization for connected cruise control with application to fuel economy optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Co-states initialization of minimum-time low-thrust trajectories using shape-based methods.
Proceedings of the 2016 American Control Conference, 2016

A game theoretical model of traffic with multiple interacting drivers for use in autonomous vehicle development.
Proceedings of the 2016 American Control Conference, 2016


  Loading...