Visual Servoing of a Flexible Gantry Crane With a Sway Range Constraint. - Leilei Cui 002; Dongliang Zheng (IEEE Control. Syst. Lett., 2019)

Nonlinear Balance Control of an Unmanned Bicycle: Design and Experiments. - Leilei Cui 002; Shuai Wang 007; Jie Lai; Xiangyu Chen 001; Sicheng Yang; Zhengyou Zhang; Zhong-Ping Jiang (IROS, 2020)

Gain Scheduled Controller Design for Balancing an Autonomous Bicycle. - Shuai Wang 007; Leilei Cui 002; Jie Lai; Sicheng Yang; Xiangyu Chen 001; Yu Zheng 001; Zhengyou Zhang; Zhong-Ping Jiang (IROS, 2020)

Combined Longitudinal and Lateral Control of Autonomous Vehicles based on Reinforcement Learning. - Leilei Cui 002; Kaan Özbay; Zhong-Ping Jiang (ACC, 2021)

Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road. - Tong Liu; Leilei Cui 002; Bo Pang 002; Zhong-Ping Jiang (CDC, 2021)

A Warehouse Scheduling Using Genetic Algorithm and Collision Index. - Won Yong Ha; Leilei Cui 002; Zhong-Ping Jiang (ICAR, 2021)

Balance Control of a Novel Wheel-legged Robot: Design and Experiments. - Shuai Wang 007; Leilei Cui 002; Jingfan Zhang; Jie Lai; Dongsheng Zhang; Ke Chen; Yu Zheng 001; Zhengyou Zhang; Zhong-Ping Jiang (ICRA, 2021)

Learning-Based Balance Control of Wheel-Legged Robots. - Leilei Cui 002; Shuai Wang 007; Jingfan Zhang; Dongsheng Zhang; Jie Lai; Yu Zheng 001; Zhengyou Zhang; Zhong-Ping Jiang (IEEE Robotics Autom. Lett., 2021)

Visual Servoing of a Flexible Aerial Refueling Boom With an Eye-in-Hand Camera. - Leilei Cui 002; Hesheng Wang 001; Xinwu Liang; Jingchuan Wang; Weidong Chen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Automated Lane Changing Control in Mixed Traffic: An Adaptive Dynamic Programming Approach. - Sayan Chakraborty; Leilei Cui 002; Kaan Ozbay; Zhong-Ping Jiang (ITSC, 2022)

Human motor learning is robust to control-dependent noise. - Bo Pang 002; Leilei Cui 002; Zhong-Ping Jiang (Biol. Cybern., 2022)

Mixed H2/H∞ LQ Games for Robust Policy Optimization Under Unknown Dynamics. - Leilei Cui 002; Lekan P. Molu (CoRR, 2022)

A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. - Leilei Cui 002; Zhong-Ping Jiang (CoRR, 2022)

Asymptotic Trajectory Tracking of Autonomous Bicycles via Backstepping and Optimal Control. - Leilei Cui 002; Shuai Wang 007; Zhengyou Zhang; Zhong-Ping Jiang (IEEE Control. Syst. Lett., 2022)

Learning Adaptive Optimal Controllers for Linear Time-Delay Systems *. - Leilei Cui 002; Bo Pang 002; Zhong-Ping Jiang (ACC, 2023)

Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control. - Leilei Cui 002; Bo Pang 002; Zhong-Ping Jiang (CDC, 2023)

A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. - Leilei Cui 002; Tamer Basar; Zhong-Ping Jiang (L4DC, 2023)

A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic. - Tong Liu; Leilei Cui 002; Bo Pang 002; Zhong-Ping Jiang (IEEE Trans. Intell. Veh., 2023)

Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem. - Leilei Cui 002; Zhong-Ping Jiang; Eduardo D. Sontag (Syst. Control. Lett., 2024)

Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. - Leilei Cui 002; Bo Pang 002; Zhong-Ping Jiang (IEEE Trans. Autom. Control., 2024)

Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control. - Leilei Cui 002; Tamer Basar; Zhong-Ping Jiang (IEEE Trans. Autom. Control., 2024)

Learning-based adaptive optimal control of linear time-delay systems: A value iteration approach. - Leilei Cui 002; Bo Pang 002; Miroslav Krstic; Zhong-Ping Jiang (Autom., 2025)

Remarks on the Polyak-Lojasiewicz inequality and the convergence of gradient systems. - Arthur Castello B. de Oliveira; Leilei Cui 002; Eduardo D. Sontag (CoRR, 2025)

Data-Driven Combined Longitudinal and Lateral Control for the Car Following Problem. - Leilei Cui 002; Sayan Chakraborty; Kaan Ozbay; Zhong-Ping Jiang (IEEE Trans. Control. Syst. Technol., 2025)

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable. - Leilei Cui 002; Zhong-Ping Jiang; Eduardo D. Sontag; Richard D. Braatz (CoRR, 2025)