Immersion and Invariance-based Adaptive Control for Quadrotor Transportation Systems Using Deep Reinforcement Learning.
Xiaoxi LiHai YuMingxi HuXiao LiangJianda HanYongchun FangPublished in: ICARM (2022)
Keyphrases
- adaptive control
- transportation systems
- reinforcement learning
- nonlinear systems
- control problems
- feedback control
- function approximation
- autonomous control
- adaptive controller
- virtual reality
- state space
- learning algorithm
- control method
- machine learning
- variable structure
- supervised learning
- multi modal
- dynamic environments
- chaotic systems
- aerial vehicles
- particle swarm optimization
- data mining
- real time