Name
Abstract | ||
|---|---|---|
Engineering systems are always subjected to faults or malfunctions due to age or unexpected events, which would degrade the operation performance and even lead to the operation failure. Therefore, there is a strong motivation to develop fault tolerant control strategy so that the system can operate with tolerated performance degradation. In this paper, a novel approach based on reinforcement leaning is proposed to design a fault-tolerant controller without need of the information on faults. The effectiveness of the algorithm is demonstrated by a numerical simulation example. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 IEEE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | Fault-tolerant control, reinforcement learning, performance index |
Field | DocType | ISSN |
Control theory,Performance index,Real-time computing,Control engineering,Fault tolerance,Engineering,Unexpected events,Reinforcement,Reinforcement learning | Conference | 1935-4576 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dapeng Zhang | 1 | 3 | 3.41 |
| Zhiling Lin | 2 | 3 | 2.06 |
| Zhiwei Gao | 3 | 796 | 61.68 |