Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/135574
| Citations | ||
| Scopus | Web of Science® | Altmetric |
|---|---|---|
|
?
|
?
|
|
| Type: | Journal article |
| Title: | Kalman filtering with finite-step autocorrelated measurement noise |
| Author: | Liu, W. Shi, P. Zhang, H. |
| Citation: | Journal of Computational and Applied Mathematics, 2022; 408:114138-1-114138-19 |
| Publisher: | Elsevier BV |
| Issue Date: | 2022 |
| ISSN: | 0377-0427 1879-1778 |
| Statement of Responsibility: | Wei Liu, Peng Shi, Huiyan Zhang |
| Abstract: | Abstract not available |
| Keywords: | Kalman filtering; Discrete-time; Linear systems; Finite-step autocorrelated; Convergence |
| Rights: | © 2022 Elsevier B.V. All rights reserved. |
| DOI: | 10.1016/j.cam.2022.114138 |
| Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
| Appears in Collections: | Mathematical Sciences publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.