Name
Abstract | ||
|---|---|---|
For additive actuator and sensor faults, we propose a systematic method to design a state-space fault estimation filter directly from Markov parameters identified from fault-free data. We address this problem by parameterizing a system-inversion-based fault estimation filter with the identified Markov parameters. Even without building an explicit state-space plant model, our novel approach still a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAC.2017.2742402 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Estimation,Markov processes,Fault diagnosis,Stability analysis,Actuators,Data models,Technological innovation | Journal | 63 |
Issue | ISSN | Citations |
4 | 0018-9286 | 3 |
PageRank | References | Authors |
0.48 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiming Wan | 1 | 36 | 6.03 |
| Tamás Keviczky | 2 | 475 | 44.62 |
| Michel Verhaegen | 3 | 1074 | 140.85 |