Name
Abstract | ||
|---|---|---|
This study extends the problem of fault detection (FD) for linear discrete-time systems with unknown input to non-linear systems. Moreover, based on physical consideration, the constraints of state are considered. A non-linear recursive filter is developed where the constrained state and the input are interconnected. Constraints which can improve the quality of estimation are imposed on individual... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1049/iet-spr.2012.0171 | IET Signal Processing |
Keywords | Field | DocType |
fault diagnosis,Kalman filters,least squares approximations,nonlinear filters,recursive filters,state estimation | Extended Kalman filter,Mathematical optimization,Nonlinear system,Control theory,Fault detection and isolation,Recursive Bayesian estimation,Kalman filter,Recursive filter,Invariant extended Kalman filter,Mathematics,Recursive least squares filter | Journal |
Volume | Issue | ISSN |
7 | 9 | 1751-9675 |
Citations | PageRank | References |
2 | 0.41 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Luo | 1 | 3 | 2.11 |
| Huajing Fang | 2 | 2 | 0.74 |