Reinforcement learning control for underactuated surface vessel with output error constraints and uncertainties.
Zewei ZhengLinping RuanMing ZhuXiao GuoPublished in: Neurocomputing (2020)
Keyphrases
- reinforcement learning
- mechanical systems
- control problems
- optimal control
- receding horizon
- control system
- three dimensional
- state space
- minimal path
- machine learning
- robotic control
- control policy
- motion planning
- control method
- control strategy
- geometric constraints
- action selection
- range data
- robot control
- neural network
- function approximation
- dynamic programming
- d objects
- x ray
- inverted pendulum
- error rate
- manufacturing process
- feedback control
- reinforcement learning algorithms
- process control
- control strategies
- blood vessels
- surface reconstruction