Name
Title | ||
|---|---|---|
Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism |
Abstract | ||
|---|---|---|
This paper addresses the distributed H∞ state estimation problem for a class of sensor networks with switching characteristics, where the switchings of parameters are presumed to obey persistent dwell-time switching mechanism rather than dwell time or average dwell-time ones in the discrete-time context. For the purpose of tracking the unavailable state of the target plant, a sensor network is formed by employing multiple sensor nodes distributed in space and worked cooperatively under a specific connection topology. The intention of the paper mainly centers on deriving some sufficient criteria for the addressed model to achieve the exponential mean-square stability with a prescribed H∞ performance, and the estimator gains corresponding to differently constructed estimators are further solved by means of the convex optimization method. Finally, the validity of the proposed approach is illustrated by a numerical example. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2021.01.057 | Information Sciences |
Keywords | DocType | Volume |
Switched sensor networks,Distributed H∞ state estimation,Packet dropouts,Persistent dwell-time switching mechanism | Journal | 563 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Wang | 1 | 507 | 93.00 |
| Xiaohui Hu | 2 | 17 | 8.10 |
| Jian-Wei Xia | 3 | 398 | 38.02 |
| Ju H. Park | 4 | 1 | 1.02 |
| Hao Shen | 5 | 1074 | 69.50 |