Yutong Li
Orcid: 0000-0002-1774-6293Affiliations:
- Ford Motor Company, Dearborn, MI, USA
- University of Michigan at Ann Arbor, Department of Aerospace Engineering, MI, USA
- Tongji University, Department of Transportation, Shanghai, China
- Tsinghua University, School of automotive engineering, Beijing, China (PhD 2017)
According to our database1,
Yutong Li
authored at least 15 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control.
CoRR, July, 2025
IEEE Trans. Autom. Control., April, 2025
2024
System-level safety guard: Safe tracking control through uncertain neural network dynamics models.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model.
CoRR, 2023
2022
Robust Action Governor for Discrete-Time Piecewise Affine Systems With Additive Disturbances.
IEEE Control. Syst. Lett., 2022
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning.
CoRR, 2022
2021
CoRR, 2021
Human-Machine Collaboration for Automated Driving Using an Intelligent Two-Phase Haptic Interface.
Adv. Intell. Syst., 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
2020
A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information.
CoRR, 2020
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface.
CoRR, 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
2019
Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach.
IEEE Trans. Ind. Electron., 2019
2018
Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System.
IEEE Trans. Ind. Informatics, 2018