dc.contributor.author | Talebi, Sayedpouria | |
dc.contributor.author | Werner, Stefan | |
dc.contributor.author | Gupta, Vijay | |
dc.contributor.author | Huang, Yih-Fang | |
dc.date.accessioned | 2022-03-10T11:30:21Z | |
dc.date.available | 2022-03-10T11:30:21Z | |
dc.date.created | 2021-09-03T13:44:11Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | IEEE Signal Processing Letters. 2021, 28 494-498. | en_US |
dc.identifier.issn | 1070-9908 | |
dc.identifier.uri | https://hdl.handle.net/11250/2984233 | |
dc.description.abstract | Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. These techniques form the enabling technology of modern multi-agent systems and have gained great importance in the engineering community. Although most distributed filtering techniques come with a set of stability and convergence criteria, the conditions imposed are found to be unnecessarily restrictive. The paradigm of stability and convergence in distributed filtering is revised in this manuscript. Accordingly, a general distributed filter is constructed and its estimation error dynamics is formulated. The conducted analysis demonstrates that conditions for achieving stable filtering operations are the same as those required in the centralized filtering setting. Finally, the concepts are demonstrated in a Kalman filtering framework and validated using simulation examples. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | On Stability and Convergence of Distributed Filters | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 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. | en_US |
dc.source.pagenumber | 494-498 | en_US |
dc.source.volume | 28 | en_US |
dc.source.journal | IEEE Signal Processing Letters | en_US |
dc.identifier.doi | 10.1109/LSP.2021.3059207 | |
dc.identifier.cristin | 1931171 | |
dc.relation.project | Norges forskningsråd: 300102 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |