Zonotopic and gaussian state estimator: the predictor and filter algorithms

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dc.creatorAlesi Augusto de Paula
dc.creatorGuilherme Vianna Raffo
dc.creatorBruno Otávio Soares Teixeira
dc.date.accessioned2025-05-13T15:40:30Z
dc.date.accessioned2025-09-09T01:00:59Z
dc.date.available2025-05-13T15:40:30Z
dc.date.issued2019
dc.identifier.doi10.17648/sbai-2019-111273
dc.identifier.urihttps://hdl.handle.net/1843/82241
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartof14º Simpósio Brasileiro de Automação Inteligente
dc.rightsAcesso Aberto
dc.subjectSistemas lineares
dc.subjectKalman, Filtragem de
dc.subject.otherKalman filter; set-based estimation; linear systems; predictors; filters
dc.titleZonotopic and gaussian state estimator: the predictor and filter algorithms
dc.typeArtigo de evento
local.citation.epage6
local.citation.spage1
local.description.resumoIn the literature, the state estimator for linear systems called zonotopic and Gaussian Kalman estimator was introduced by Combastel in 2015. It was proposed as a predictor and presented in the one-step form. The difference between a predictor and a filter is the measurement sequence used to estimate states. Predictors use the past measurements, while filters use both past and current measurements. Also, in the one-step form, the states are estimated at once. In the two-step form, the states are estimated according to the forecast and data-assimilation steps, that is, the predictive/corrective structure is made explicit. This paper revisits such estimator, here called ZGKP, and proposes two novelties. First, the two-step form is introduced for the ZGKP. After, the filter version to the estimator is proposed, here called ZGKF, in the two equivalent forms. The advantages by using the filter in comparison to the predictor are discussed.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://proceedings.science/sbai-2019/trabalhos/zonotopic-and-gaussian-state-estimator-the-predictor-and-filter-algorithms?lang=pt-br

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