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DC Field | Value | Language |
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dc.contributor.author | Zhao, Z | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Zou, L | - |
dc.contributor.author | Chen, Y | - |
dc.contributor.author | Sheng, W | - |
dc.date.accessioned | 2023-03-03T17:53:24Z | - |
dc.date.available | 2023-03-03T17:53:24Z | - |
dc.date.issued | 2022-09-21 | - |
dc.identifier | ORCID iDs: Zidong Wang https://orcid.org/0000-0002-9576-7401; Lei Zou https://orcid.org/0000-0002-0409-7941. | - |
dc.identifier.citation | Zhao, Z. et al. (2022) 'Zonotopic distributed fusion for nonlinear networked systems with bit rate constraint', Information Fusion, 90, pp. 174 - 184. doi: 10.1016/j.inffus.2022.09.014. | en_US |
dc.identifier.issn | 1566-2535 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26050 | - |
dc.description | Data availability: Data will be made available on request. | en_US |
dc.description.abstract | In this paper, the distributed fusion estimation problem is studied for a class of nonlinear networked systems subject to unknown-but-bounded (UBB) noises. A bit rate constraint is introduced to quantify the limited bandwidth of the communication channel, under which a bit rate allocation protocol is further designed by solving a certain off-line optimization problem. Based on the received data from the network, several local extended-Kalman-type estimators are constructed and zonotopic sets confining local estimation errors are then obtained. By designing the local estimator parameters, the -radii of the obtained zonotopic sets are minimized. Subsequently, with the calculated local estimates and zonotopic sets, a zonotopes-based distributed fusion estimator is put forward by means of the matrix-weighted fusion method, and the global zonotope (i.e., the zonotope encompassing the error between the system state and the fused estimate) is derived. Moreover, under the proposed zonotopes-based fusion framework, the distributed fusion estimators are designed based on, respectively, the scalar-weighted fusion method and the diagonal-matrix-weighted fusion method. Finally, the effectiveness of the proposed distributed fusion method is illustrated through a numerical example. | en_US |
dc.description.sponsorship | This work was supported in part by the National Natural Science Foundation of China under Grants 61873082, 61933007, 61973102, 62273087 and 62233012, the China Postdoctoral Science Foundation under Grant 2018T110702, the Postdoctoral Special Innovation Foundation of Shandong province of China under Grant 201701015, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany. | en_US |
dc.format.extent | 174 - 184 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2022 Elsevier B.V. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.inffus.2022.09.014, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | nonlinear networked systems | en_US |
dc.subject | distributed fusion | en_US |
dc.subject | bit rate constraint | en_US |
dc.subject | set-membership state estimation | en_US |
dc.subject | zonotopes | en_US |
dc.title | Zonotopic distributed fusion for nonlinear networked systems with bit rate constraint | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.inffus.2022.09.014 | - |
dc.relation.isPartOf | Information Fusion | - |
pubs.publication-status | Published | - |
pubs.volume | 90 | - |
dc.identifier.eissn | 1872-6305 | - |
dc.rights.holder | Elsevier B.V. | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
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