| dc.contributor.author | Schlanbusch, Siri Marte | |
| dc.contributor.author | Zhou, Jing | |
| dc.contributor.author | Schlanbusch, Rune | |
| dc.date.accessioned | 2023-05-25T09:37:01Z | |
| dc.date.available | 2023-05-25T09:37:01Z | |
| dc.date.created | 2021-09-14T13:47:02Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Schlanbusch, S. M., Zhou, J. & Schlanbusch, R. (2021). Adaptive backstepping attitude control of a rigid body with state quantization. In Proceedings of the 60th IEEE Conference on Decision and Control (pp. 372–377). | en_US |
| dc.identifier.isbn | 978-1-7281-1398-2 | |
| dc.identifier.issn | 2576-2370 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3068976 | |
| dc.description | Author's accepted manuscript | en_US |
| dc.description | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| dc.description.abstract | In this paper, the attitude tracking control problem of a rigid body is investigated where the states are quantized. An adaptive backstepping based control scheme is developed and a new approach to stability analysis is developed by constructing a new compensation scheme for the effects of the vector state quantization. It is shown that all closed-loop signals are ensured uniformly bounded and the tracking errors converge to a compact set containing the origin. Experiments on a 2 degrees-of-freedom helicopter system illustrate the proposed control scheme. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | Proceedings of 60th IEEE Conference on Decision and Control | |
| dc.title | Adaptive Backstepping Attitude Control of a Rigid Body with State Quantization | en_US |
| dc.type | Chapter | en_US |
| dc.type | Peer reviewed | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.rights.holder | © 2021 IEEE | en_US |
| dc.subject.nsi | VDP::Teknologi: 500 | en_US |
| dc.source.pagenumber | 372-377 | en_US |
| dc.identifier.doi | https://doi.org/10.1109/CDC45484.2021.9683579 | |
| dc.identifier.cristin | 1934181 | |
| dc.relation.project | Norges forskningsråd: 306640 | en_US |
| cristin.qualitycode | 1 | |
