Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30293
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dc.contributor.authorLin, H-
dc.contributor.authorLam, J-
dc.contributor.authorWang, Z-
dc.contributor.authorShu, Z-
dc.date.accessioned2024-12-02T09:40:25Z-
dc.date.available2024-12-02T09:40:25Z-
dc.date.issued2024-10-11-
dc.identifierORCiD: Hong Lin https://orcid.org/0000-0003-2207-2294-
dc.identifierORCiD: James Lam https://orcid.org/0000-0002-0294-0640-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifier.citationLin, H. et al. (2024) 'Performance and stability analysis of interacting multiple model estimator under unobservable packet loss', ISA Transactions, 0 (in press, corrected proof), pp. 1 - 12. doi: 10.1016/j.isatra.2024.10.005.en_US
dc.identifier.issn0019-0578-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30293-
dc.description.abstractFor a system with packet loss, if the estimator cannot observe the packet-loss status (PLS), the system is called an unobservable-packet-loss (UPL) system. Otherwise, it is called an observable-packet-loss (OPL) system. This paper studies the interacting multiple model (IMM) estimator for UPL systems, and the main contributions are twofold. (i) Estimation accuracy of the unobservable PLS. For an unstable UPL system, we prove that the UPL system will become an OPL one with time, since the PLS can be exactly estimated with time. For a stable UPL system, there exists an accuracy threshold such that the estimation accuracy of the PLS cannot be better than this threshold. (ii) Stability of the IMM estimator. For an unstable UPL system, we establish a necessary and sufficient condition: there exists a threshold such that the IMM estimator is stable almost everywhere if and only if the packet-arrival rate is greater than this threshold. For a stable UPL system, we show that the IMM estimator is stable, no matter what value the packet-arrival rate is.en_US
dc.description.sponsorshipThe work was supported in part by National Natural Science Foundation of China under Grant (62273286) and Grant (61873148), in part by the Scientific Research Startup Fund for Shenzhen High-Caliber Personnel of SZPT (6021310027K), in part by Shenzhen Polytechnic University Research Fund (602331015PQ), in part by Industry-University-Research Innovation Fund of Chinese University (2021ZYB05002), in part by Shenzhen-Hong Kong-Macau Technology Research Programme (SGDX20230821091559019), and in part by GRF (17203922).en_US
dc.format.extent1 - 12-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevier on behalf of International Society of Automationen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectinteracting multiple model estimatoren_US
dc.subjectstabilityen_US
dc.subjectunobservable packet lossen_US
dc.titlePerformance and stability analysis of interacting multiple model estimator under unobservable packet lossen_US
dc.typeArticleen_US
dc.date.dateAccepted2024-10-04-
dc.identifier.doihttps://doi.org/10.1016/j.isatra.2024.10.005-
dc.relation.isPartOfISA Transactions-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn1879-2022-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en-
dc.rights.holderInternational Society of Automation-
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