Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.
Yilan LiHongjia LiZhe LiHaowen FangAmit K. SanyalYanzhi WangQinru QiuPublished in: RTCSA (2019)
Keyphrases
- unmanned aerial vehicles
- reinforcement learning
- trajectory tracking
- function approximation
- closed loop
- dynamic model
- learning algorithm
- search and rescue
- human operators
- iterative learning
- path planning
- bi directional
- control law
- state space
- physical constraints
- decision making
- dynamic environments
- robotic systems
- mobile robot
- model free
- control system
- sliding mode
- machine learning