Name
Title | ||
|---|---|---|
Cubature Kalman Filtering for Dynamic Pointing Rotary Steerable System Based on Dynamic Event-Triggering Mechanism |
Abstract | ||
|---|---|---|
In this paper, the state estimation problem of dynamic point-the-bit rotary steerable system based on event-triggered cubature Kalman filter is studied. According to the known system model, a dynamic event-triggering mechanism is designed to send signals when the measured values of the system meet the event triggering conditions. Then, an event-triggered cubature Kalman filtering method is proposed and the upper bound of the filter error covariance can be guaranteed. Finally, simulation experiments show that the algorithm is effective. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SAFEPROCESS52771.2021.9693619 | 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) |
Keywords | DocType | ISBN |
dynamic point-the-bit rotary steerable system,dynamic event-triggered mechanism,state estimation,Cubature Kalman Filter | Conference | 978-1-6654-0116-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinyi Tian | 1 | 0 | 0.34 |
| Li Sheng | 2 | 125 | 15.24 |