Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30960
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dc.contributor.authorGuo, Y-
dc.contributor.authorWang, Z-
dc.contributor.authorLi, J-Y-
dc.contributor.authorXu, Y-
dc.date.accessioned2025-03-26T12:08:17Z-
dc.date.available2025-03-26T12:08:17Z-
dc.identifierORCiD: Yuru Guo https://orcid.org/0000-0001-6608-2190-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifierORCiD: Jun-Yi Li https://orcid.org/0000-0001-7830-490X-
dc.identifierORCiD: Yong Xu https://orcid.org/0000-0003-2219-7732-
dc.identifier.citationGuo, Y. et al. (2025) 'An Impulsive Approach to State Estimation for Multirate Singularly Perturbed Complex Networks Under Bit Rate Constraints', IEEE Transactions on Cybernetics, 55 (3), pp. 1197 - 1209. doi: 10.1109/TCYB.2024.3524515.en_US
dc.identifier.issn2168-2267-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30960-
dc.description.abstractIn this article, the problem of ultimately bounded state estimation is investigated for discrete-time multirate singularly perturbed complex networks under the bit rate constraints, where the sensor sampling period is allowed to differ from the updating period of the networks. The facilitation of communication between sensors and the remote estimator through wireless networks, which are subject to bit rate constraints, involves the use of a coding-decoding mechanism. For efficient estimation in the presence of periodic measurements, a specialized impulsive estimation method is developed, which aims to carry out impulsive corrections precisely at the instants when the measurement signal is received by the estimator. By employing the iteration analysis method under the impulsive mechanism, a sufficient condition is established that ensures the exponential boundedness of the estimation error dynamics. Furthermore, an optimization algorithm is introduced for addressing the challenges related to bit rate allocation and the design of desired estimator gains. Within the presented theoretical framework, the correlation between estimation performance and bit rate allocation is elucidated. Finally, a simulation example is provided to demonstrate the validity of the proposed estimation approach.en_US
dc.description.sponsorship10.13039/501100019033-Key Area Research and Development Program of Guangdong Province (Grant Number: 2021B0101410005); 10.13039/501100003453-Natural Science Foundation of Guangdong Province of China (Grant Number: 2021A1515011634 and 2021B1515420008); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: U22A2044 and 62206063); Local Innovative and Research Teams Project of Guangdong Special Support Program of China (Grant Number: 2019BT02X353); 10.13039/501100004543-China Scholarship Council (Grant Number: 202208440312).en_US
dc.format.extent1197 - 1209-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2025 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.subjectbit rate allocationen_US
dc.subjectconstrained bit rateen_US
dc.subjectimpulsive estimationen_US
dc.subjectmultirate complex networksen_US
dc.subjectsingularly perturbed systemsen_US
dc.titleAn Impulsive Approach to State Estimation for Multirate Singularly Perturbed Complex Networks Under Bit Rate Constraintsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TCYB.2024.3524515-
dc.relation.isPartOfIEEE Transactions on Cybernetics-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume55-
dc.identifier.eissn2168-2275-
dcterms.dateAccepted2024-12-27-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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