Sampled-data approach to state estimation performance for heterogeneous distributed system with fault
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1498-1508 |
| Journal / Publication | Asian Journal of Control |
| Volume | 17 |
| Issue number | 5 |
| Online published | 11 Nov 2014 |
| Publication status | Published - Sept 2015 |
Link(s)
Abstract
This paper considers the state estimation performance for heterogeneous distributed system with fault based on sampled-data measurement. Firstly, a performance index for distributed state estimation is proposed. Based on the sampled-data measurement of the heterogeneous distributed system, distributed state estimators are constructed. It is proved that by analyzing the distributed state estimation error systems, the required performance index for overall state estimation can be obtained using linear matrix inequality method. Finally, a simulation example is used to illustrate the effectiveness of the proposed theoretical scheme.
Research Area(s)
- Fault, Heterogeneous distributed system, Sampled-data measurement, State estimation
Citation Format(s)
Sampled-data approach to state estimation performance for heterogeneous distributed system with fault. / Chen, Shun; Ho, Daniel W. C.
In: Asian Journal of Control, Vol. 17, No. 5, 09.2015, p. 1498-1508.
In: Asian Journal of Control, Vol. 17, No. 5, 09.2015, p. 1498-1508.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
