Name
Abstract | ||
|---|---|---|
This paper presents a moving horizon estimation approach for the multirate sampled-data system with unknown time-delay sequence. To estimate the unknown variables of interest, two main challenging issues need to be addressed: (a) synthesizing the multirate input and output data for state estimation, (b) simultaneously estimating the continuous state and discrete time-delay sequence. In this work a moving horizon estimation based approach is developed to tackle these issues. The proposed approach can simultaneously estimate both the continuous states and discrete time-delay sequence for dynamic systems. The effects of different noise level on the estimation of continuous states and discrete time-delay sequence are analyzed. The effectiveness of this method is illustrated through a simulation study. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jfranklin.2018.12.006 | Journal of the Franklin Institute |
Field | DocType | Volume |
Control theory,Noise level,Input/output,Moving horizon estimation,Mathematics,Dynamical system | Journal | 356 |
Issue | ISSN | Citations |
4 | 0016-0032 | 1 |
PageRank | References | Authors |
0.35 | 36 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ya Gu | 1 | 137 | 7.37 |
| Yongxin Chou | 2 | 7 | 4.48 |
| Jicheng Liu | 3 | 6 | 2.08 |
| Yan Ji | 4 | 11 | 2.55 |