Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33042
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dc.contributor.authorGuo, Y-
dc.contributor.authorWang, Z-
dc.contributor.authorWang, Y-
dc.contributor.authorXu, Y-
dc.coverage.spatialBirmingham, UK-
dc.date.accessioned2026-03-26T16:08:09Z-
dc.date.available2026-03-26T16:08:09Z-
dc.date.issued2023-08-30-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifier.citationGuo, Y. et al. (2023) 'Ultimately Bounded State Estimation for Discrete-Time Singularly Perturbed Complex Networks Under Bit Rate Constraints', ICAC 2023 - 28th International Conference on Automation and Computing, Birmingham, UK, 30 August–1 September, pp. 1–6. doi: 10.1109/ICAC57885.2023.10275146.en-US
dc.identifier.isbn979-8-3503-3585-9-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33042-
dc.description.abstractIn this paper, the ultimately bounded state estimation problem is investigated for discrete-time singularly perturbed complex networks (SPCNs) under bit rate constraints. The measurement outputs of the considered SPCNs are transmitted to the remote estimator through a bandwidth-limited wireless network where a coding-decoding mechanism is employed. A state estimator is developed by fully considering the effects of the constrained bit rate to achieve the desired estimation performance index. The boundedness of the estimation error dynamics is analyzed with the help of the constructed Lyapunov-like functional candidate. Finally, a simulation example is used to verify the correctness of the obtained theoretical results.en-US
dc.description.sponsorshipThis work supposed in part by the Key Area Research and Development Program of Guangdong Province of China under Grant 2021B0101410005 and the China Scholarship Council under Grant 202208440312.en-US
dc.format.extent1–6-
dc.format.mediumPrint-Electronic-
dc.languageen-USen-US
dc.language.isoenen-US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en-US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (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 (see: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/).-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.source28th International Conference on Automation and Computing (ICAC 2023)-
dc.source28th International Conference on Automation and Computing (ICAC 2023)-
dc.subjectsingularly perturbed systemsen-US
dc.subjectconstrained bit rateen-US
dc.subjectcomplex networksen-US
dc.subjectdiscrete-time systemsen-US
dc.subjectultimate boundednessen-US
dc.titleUltimately Bounded State Estimation for Discrete-Time Singularly Perturbed Complex Networks Under Bit Rate Constraintsen-US
dc.typeConference Paperen-US
dc.date.dateAccepted2023-06-15-
dc.identifier.doihttps://doi.org/10.1109/ICAC57885.2023.10275146-
dc.relation.isPartOfICAC 2023 - 28th International Conference on Automation and Computing-
pubs.finish-date2023-09-01-
pubs.finish-date2023-09-01-
pubs.publication-statusPublished-
pubs.start-date2023-08-30-
pubs.start-date2023-08-30-
dcterms.dateAccepted2023-06-15-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
dc.contributor.orcidWang, Zidong 0000-0002-9576-7401-
Appears in Collections:Department of Computer Science Research Papers

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