Information sufficiency limits in metaheuristicbased IIR system identification under multi-level observation reduction

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dc.contributor.authorÇınar, Rıdvan Fırat
dc.contributor.authorBektaş Güneş, Burcu
dc.contributor.authorTürkeri, Cebrail
dc.contributor.authorEkinci, Serdar
dc.date.accessioned2026-06-26T08:09:02Z
dc.date.available2026-06-26T08:09:02Z
dc.date.issued2026
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA, Ankara, 21-23 May 2026.
dc.description.abstractThis study examines information-induced limits of parameter identifiability in IIR system identification under multi-level observation representations. A fixed populationbased optimization framework is employed to isolate information effects from algorithmic variability, while the observation model is progressively reduced in information content. Using a persistently exciting white Gaussian input, three observation scenarios are analysed: full time-domain measurements, magnitude-only spectral observations, and band-limited magnitude representations. Although numerical convergence is achieved under all scenarios, parameter estimation accuracy deteriorates systematically as observation information decreases, as reflected in the distribution of relative parameter errors. Fisher information-based indicators are evaluated as complementary sensitivity measures and reveal consistent reductions in local information volume, while also illustrating their limitations under nonlinear and many-to-one observation mappings. The results indicate that identifiability loss originates from structural information insufficiency in the observation model and cannot be compensated by optimization alone.
dc.identifier.doi10.1109/ICHORA69329.2026.11537207
dc.identifier.isbn9798331581503
dc.identifier.scopus2-s2.0-105042094442
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICHORA69329.2026.11537207
dc.identifier.urihttps://hdl.handle.net/11501/2771
dc.indekslendigikaynakScopus
dc.institutionauthorBektaş Güneş, Burcu
dc.institutionauthorid0000-0002-9046-1542
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCramér-Rao Bound
dc.subjectFisher Information
dc.subjectGrey Wolf Optimizer
dc.subjectIIR Systems
dc.subjectInformation Sufficiency
dc.subjectMetaheuristic Optimization
dc.subjectReduced Observations
dc.subjectSystem Identification
dc.titleInformation sufficiency limits in metaheuristicbased IIR system identification under multi-level observation reduction
dc.typeConference Object

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