Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles
DOI10.1002/oca.2832OpenAlexW3217666174MaRDI QIDQ6078783
Xin Xu, Xinglong Zhang, Wen-Zhang Li, Unnamed Author
Publication date: 25 October 2023
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2832
reinforcement learningreceding horizonoptimal control problemscontinuous-time systemunknown dynamicsautonomous ground vehicles
Learning and adaptive systems in artificial intelligence (68T05) Dynamic programming in optimal control and differential games (49L20) Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85)
Related Items (1)
Cites Work
- Unnamed Item
- Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
- Event-triggered robust model predictive control of continuous-time nonlinear systems
- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
- Stability margins of nonlinear receding-horizon control via inverse optimality
- A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
- Adaptive dynamic programming with applications in optimal control
- CasADi: a software framework for nonlinear optimization and optimal control
- A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems
- Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
- Dynamic programming and suboptimal control: a survey from ADP to MPC
- An Optimal Control Scheme for a Class of Discrete-time Nonlinear Systems with Time Delays Using Adaptive Dynamic Programming
- Robust receding horizon control of constrained nonlinear systems
- Model Predictive Control of Continuous-Time Nonlinear Systems With Piecewise Constant Control
- Optimization‐based autonomous racing of 1:43 scale RC cars
This page was built for publication: Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles