马军｜沈阳工业大学｜学者主页

2025

Fast and Scalable Game-Theoretic Trajectory Planning with Intentional Uncertainties

Zhenmin Huang, Yusen Xie, Benshan Ma, Shaojie Shen, Jun Ma

arXiv preprint

2025

Managing Procurement Auction Failure: Bid Requirements or Reserve Prices

Jun Ma, Vadim Marmer, Pai Xu

arXiv preprint

DOI

2025

Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems

Zhenmin Huang, Ce Hao, Wei Zhan, Jun Ma, Masayoshi Tomizuka

arXiv preprint

2025

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers

Rui Yang, Lei Zheng, Shuzhi Sam Ge, Jun Ma

arXiv preprint

DOI

2024

Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication

Haichao Liu, Zhenmin Huang, Zicheng Zhu, Yulin Li, Shaojie Shen, Jun Ma

arXiv preprint

2024

A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game

Chengzhen Meng, Zhenmin Huang, Jun Ma

arXiv preprint

2024

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles

Wenru Liu, Yongkang Song, Chengzhen Meng, Zhiyu Huang, Haochen Liu, Chen Lv, Jun Ma

arXiv preprint

2024

Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving

Lei Zheng, Rui Yang, Zengqi Peng, Wei Yan, Michael Yu Wang, Jun Ma

arXiv preprint

2023

Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic

Lei Zheng, Rui Yang, Zengqi Peng, Haichao Liu, Michael Yu Wang, Jun Ma

arXiv preprint

2023

Learning the References of Online Model Predictive Control for Urban Self-Driving

Yubin Wang, Zengqi Peng, Yusen Xie, Yulin Li, Hakim Ghazzai, Jun Ma

arXiv preprint

2023

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning

Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma

arXiv preprint

2023

Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM

Zhenmin Huang, Shaojie Shen, Jun Ma

arXiv preprint

2021

Sequential Convex Programming for Collaboration of Connected and Automated Vehicles

Xiaoxue Zhang, Jun Ma, Zilong Cheng, Frank L. Lewis, Tong Heng Lee

arXiv preprint

2021

Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method

Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Tong Heng Lee

arXiv preprint

2021

Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles

Xiaoxue Zhang, Zilong Cheng, Jun Ma, Sunan Huang, Frank L. Lewis, Tong Heng Lee

arXiv preprint

2021

Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Zilong Cheng, Jun Ma, Wenxin Wang, Zicheng Zhu, Clarence W. de Silva, Tong Heng Lee

arXiv preprint

2021

Convex Parameterization and Optimization for Robust Tracking of a Magnetically Levitated Planar Positioning System

Jun Ma, Zilong Cheng, Haiyue Zhu, Xiaocong Li, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2020

On Symmetric Gauss-Seidel ADMM Algorithm for $\mathcal{H}_\infty$ Guaranteed Cost Control with Convex Parameterization

Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2020

Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control

Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Clarence W. de Silva, Tong Heng Lee

arXiv preprint

2020

Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization

Zilong Cheng, Yulin Li, Kai Chen, Jun Ma, Tong Heng Lee

arXiv preprint

2020

Robust Fixed-Order Controller Design for Uncertain Systems with Generalized Common Lyapunov Strictly Positive Realness Characterization

Jun Ma, Haiyue Zhu, Xiaocong Li, Wenxin Wang, Clarence W. de Silva, Tong Heng Lee

arXiv preprint

2020

Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving

Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2020

Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System

Xiaocong Li, Haiyue Zhu, Jun Ma, Tat Joo Teo, Chek Sing Teo, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

DOI

2020

Trajectory Generation by Chance Constrained Nonlinear MPC with Probabilistic Prediction

Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Shuzhi Sam Ge, Tong Heng Lee

arXiv preprint

2020

Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM

Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2020

Data-Driven Predictive Control Towards Multi-Agent Motion Planning With Non-Parametric Closed-Loop Behavior Learning

Jun Ma, Zilong Cheng, Wenxin Wang, Abdullah Al Mamun, Clarence W. de Silva, Tong Heng Lee

arXiv preprint

2019

Second-Order Non-Convex Optimization for Constrained Fixed-Structure Static Output Feedback Controller Synthesis

Zilong Cheng, Jun Ma, Xiaocong Li, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2019

Data-Driven Linear Quadratic Optimization for Controller Synthesis with Structural Constraints

Jun Ma, Zilong Cheng, Xiaocong Li, Wenxin Wang, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

2019

On Robust Stability and Performance with a Fixed-Order Controller Design for Uncertain Systems

Jun Ma, Haiyue Zhu, Masayoshi Tomizuka, Tong Heng Lee

arXiv preprint

精选作品

期刊论文

基于库存水平的联产品供应链网络均衡研究

基于报童模型的供应链网络均衡决策研究

需求正态分布条件下基于报童模型的供应链网络均衡模型

考虑消费者风险规避的跨境电商B2C供应链网络均衡研究

供应链网络均衡模型综述与展望

A supply chain network economic model with time-based competition

基于风险管理的动态供应链超网络均衡模型

时间敏感性产品供应链超网络均衡模型

基于竞争的网络组织间知识转移的均衡模型研究

运输代理企业与运输企业之间合作伙伴关系的博弈分析

预印本

Fast and Scalable Game-Theoretic Trajectory Planning with Intentional Uncertainties

Managing Procurement Auction Failure: Bid Requirements or Reserve Prices

Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers

Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication

A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles

Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving

Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic

Learning the References of Online Model Predictive Control for Urban Self-Driving

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning

Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM

Sequential Convex Programming for Collaboration of Connected and Automated Vehicles

Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method

Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles

Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Convex Parameterization and Optimization for Robust Tracking of a Magnetically Levitated Planar Positioning System

On Symmetric Gauss-Seidel ADMM Algorithm for $\mathcal{H}_\infty$ Guaranteed Cost Control with Convex Parameterization

Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control

Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization

Robust Fixed-Order Controller Design for Uncertain Systems with Generalized Common Lyapunov Strictly Positive Realness Characterization

Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving

Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System

Trajectory Generation by Chance Constrained Nonlinear MPC with Probabilistic Prediction

Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM

Data-Driven Predictive Control Towards Multi-Agent Motion Planning With Non-Parametric Closed-Loop Behavior Learning

Second-Order Non-Convex Optimization for Constrained Fixed-Structure Static Output Feedback Controller Synthesis

Data-Driven Linear Quadratic Optimization for Controller Synthesis with Structural Constraints

On Robust Stability and Performance with a Fixed-Order Controller Design for Uncertain Systems

书籍章节

Order Acceptance Policy for Make-To-Order Supply Chain

研究方向