Fault Tolerant Control Using Reinforcement Learning and Particle Swarm Optimization
Diversity, uncertainty and suddenness of unexpected faults bring a challenge for fault tolerant control due to the lack of valid data especially for a fault during an early stage. In this study, a reinforcement learning approach with a critic action architecture is proposed to overcome this challeng...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9189833/ |