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/2438/24617| Title: | Endec-decoder-based N-step model predictive control: Detectability, stability and optimization |
| Authors: | Song, Y Wang, Z Zou, L Liu, S |
| Keywords: | N-step model predictive control;networked control systems;dynamic uniform quantization;observer-based endec-decoder scheme;detectability |
| Issue Date: | 14-Oct-2021 |
| Publisher: | Elsevier BV |
| Citation: | Song, Y., Wang, Z., Zou, L. and Liu, S. (2022) 'Endec-decoder-based N-step model predictive control: Detectability, stability and optimization', Automatica, 135, 109961, pp. 1 - 11 (11). doi: 10.1016/j.automatica.2021.109961. |
| URI: | https://bura.brunel.ac.uk/handle/2438/24617 |
| DOI: | https://doi.org/10.1016/j.automatica.2021.109961 |
| ISSN: | 0005-1098 |
| Other Identifiers: | 109961 |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 14 October 2023 | 396.97 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
