Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23494| Title: | Maximum-correntropy-based Kalman filtering for time-varying systems with randomly occurring uncertainties: An event-triggered approach |
| Authors: | Su, T Wang, Z Zou, L Alsaadi, FE |
| Keywords: | event-triggered mechanism;Kalman filter;maximum correntropy criterion;non-Gaussian noise;randomly occurring uncertainties |
| Issue Date: | 20-Dec-2020 |
| Publisher: | John Wiley and Sons on behalf of International Federation of Automatic Control (IFAC) |
| Citation: | Su, T., Wang, Z., Zou, L. and Alsaadi, F.E. (2021) 'Maximum-correntropy-based Kalman filtering for time-varying systems with randomly occurring uncertainties: An event-triggered approach', International Journal of Robust and Nonlinear Control, 31 (5), pp. 1582 - 1599. doi: 10.1002/rnc.5368. |
| URI: | https://bura.brunel.ac.uk/handle/2438/23494 |
| DOI: | https://doi.org/10.1002/rnc.5368 |
| ISSN: | 1049-8923 |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 20 Dec 2021 | 274.46 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.