Nan Li

According to our database1, Nan Li authored at least 35 papers between 2016 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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

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

Safe Reinforcement Learning Using Robust Action Governor.
CoRR, 2021

Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed Integer Nonlinear Programming.
CoRR, 2021

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

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

Chance-Constrained Controller State and Reference Governor.
CoRR, 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
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation.
CoRR, 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

Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections.
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


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