Publications

[P4] Distributed Charging Coordination for Electric Trucks under Limited Facilities and Travel Uncertainties
Ting Bai, Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
Submitted

[P3] An Approximate Dynamic Programming Framework for Occlusion-Robust Multi-Object Tracking
Pratyusha Musunuru, Yuchao Li, Jamison Weber, and Dimitri P. Bertsekas
Submitted [Video], [Slides]

[P2] Most Likely Sequence Generation for $n$-Grams, Transformers, HMMs, and Markov Chains, by Using Rollout Algorithms
Yuchao Li and Dimitri P. Bertsekas
Submitted [Video], [Slides]

[P1] Parallel Rollout for Deterministic Optimal Control
Yuchao Li, Aren Karapetyan, Niklas Schmid, John Lygeros, Karl H. Johansson, and Jonas Mårtensson
Submitted [Code]

[J4] Exact Dynamic Programming for Positive Systems with Linear Optimal Cost
Yuchao Li and Anders Rantzer
IEEE Transactions on Automatic Control, 2024 [arXiv version]

[J3] Rollout-Based Charging Strategy for Electric Trucks with Hours-of-Service Regulations
Ting Bai, Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
IEEE Control Systems Letters, 2023 [Slides], [Code], [arXiv version]

[J2] Rollout Approach to Sensor Scheduling for Remote State Estimation under Integrity Attack
Hanxiao Liu, Yuchao Li, Jonas Mårtensson, Karl H. Johansson, and Lihua Xie
Automatica, 2022

[J1] A Cascade Control Approach to Active Suspension Using Pneumatic Actuators
Yuchao Li, Lei Feng, and Yu Wang
Asian Journal of Control, 2019

[C10] Distributed Charging Coordination of Electric Trucks with Limited Charging Resources
Ting Bai, Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
22nd European Control Conference (ECC), Stockholm, Sweden, June 2024 [Code], [arXiv version]

[C9] Multiagent Rollout with Reshuffling for Warehouse Robots Path Planning
William Emanuelsson, Alejandro Penacho Riveiros, Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
22nd IFAC World Congress, Yokohama, Japan, July 2023 [Video], [Slides], [Code], [arXiv version]

[C8] Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond
Yuchao Li, Aren Karapetyan, John Lygeros, Karl H. Johansson, and Jonas Mårtensson
22nd IFAC World Congress, Yokohama, Japan, July 2023 [Video], [Slides], [arXiv version]

[C7] Data-Driven Rollout for Deterministic Optimal Control
Yuchao Li, Karl H. Johansson, Jonas Mårtensson, and Dimitri P. Bertsekas
60th IEEE Conference on Decision and Control (CDC), Austin, US, December 2021 [Video], [Slides], [arXiv version]

[C6] Reinforcement Learning Based Approach for Flip Attack Detection
Hanxiao Liu, Yuchao Li, Jonas Mårtensson, Lihua Xie, and Karl H. Johansson
59th IEEE Conference on Decision and Control (CDC), Jeju, Republic of Korea, December 2020

[C5] Linear Time-Varying Model Predictive Control for Automated Vehicles: Feasibility and Stability under Emergency Lane Change
Yuchao Li, Xiao Chen, and Jonas Mårtensson
21st IFAC World Congress, Berlin, Germany, July 2020 [Slides]

[C4] Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence
Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
2nd Conference on Learning for Dynamics and Control (L4DC), Berkeley, US, June 2020 [arXiv version], [Poster]

[C3] A Hierarchical Control System for Smart Parking Lots with Automated Vehicles: Improve Efficiency by Leveraging Prediction of Human Drivers
Yuchao Li, Karl H. Johansson, and Jonas Mårtensson
18th European Control Conference (ECC), Naples, Italy, June 2019

[C2] Design and Formal Verification of a Safe Stop Supervisor for an Automated Vehicle
Jonas Krook, Lars Svensson, Yuchao Li, Lei Feng, and Martin Fabian
IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019 [Video]

[C1] A Geometric Programming Approach to the Optimization of Mechatronic Systems in Early Design Stages
Yuchao Li, Anqing Duan, Alexander Gratner, and Lei Feng
IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Banff, Canada, July 2016

[T3] Approximate Methods of Optimal Control via Dynamic Programming Models
Doctoral Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, February 2023

[T2] Approximate Solution Methods to Optimal Control Problems via Dynamic Programming Models
Licentiate Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, November 2021

[T1] Control Strategies for Active Suspension with Pneumatic Actuators
M.Sc. Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, October 2016