In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …

Dynamic/Kinematic model is of great significance in decision and control of intelligent
vehicles. However, due to the singularity of dynamic models at low speed, kinematic models …

This paper focuses on the path following control problems for autonomous driving vehicles.
Aiming at enhancing the robustness and attenuating the chattering phenomenon, a super …

作为高级别自动驾驶的下一代技术方向, 类脑学习以深度神经网络为策略载体,
以强化学习为训练手段, 通过与环境的交互探索实现策略的自我进化, 最终获得从环境状态到 …

The Hamilton–Jacobi–Bellman (HJB) equation serves as the necessary and sufficient
condition for the optimal solution to the continuous-time (CT) optimal control problem (OCP) …

Urban high‐speed railway construction is complex due to limited land resources, high
population density, and potential construction risks, especially when new tracks are …

In this paper, a novel adaptive dynamic programming (ADP)-based optimal control method
is developed for discrete-time systems subject to constraints and disturbances. Particularly …

This paper analyzes the lateral control technology of autonomous semi-trailer trucks.
Existing researches on the lateral control algorithm of semi-trailer trucks focus on making the …

Collaborative motion planning for multi-agent systems is a challenging problem because of
the existence of highly nonlinear and nonconvex constraints. Such difficulties also lead to …

Hamilton-Jacobi-Bellman (HJB) equation is the sufficient and necessary condition for
continuous-time optimal control problem (OCP). Different from HJB equation in infinite …