Name
Abstract | ||
|---|---|---|
Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/RAMECH.2008.4681338 | RAM |
Keywords | Field | DocType |
observers,centralized hinfin fusion filter design,lmi,lmi methods,h∞ filtering,multisensor nonlinear fusion system,nonlinear fusion system,linear matrix inequalities,filtering theory,h∞filtering,hinfin control,asymptotically stable observer,sensor fusion,robustness,filtering,filter design,kalman filters,stochastic processes | Nonlinear system,Control theory,Stochastic process,Filter (signal processing),Robustness (computer science),Kalman filter,Control engineering,Sensor fusion,Observer (quantum physics),Mathematics,Filter design | Conference |
ISBN | Citations | PageRank |
978-1-4244-1676-9 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing-Hua Li | 1 | 1563 | 88.15 |
| Hongjun Wang | 2 | 661 | 51.68 |
| Jun Du | 3 | 1 | 2.40 |
| Xuezhen Liu | 4 | 61 | 5.24 |
| Fei Lin | 5 | 3 | 2.78 |