FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2067023456> ?p ?o ?g. }

• W2067023456 endingPage "216" @default.
• W2067023456 startingPage "199" @default.
• W2067023456 abstract "Using the innovation analysis method in the time domain, based on the autoregressive moving average (ARMA) innovation model, this paper presents a unified white noise estimation theory that includes both input and measurement white noise estimators, and presents a new steady-state optimal state estimation theory. Non-recursive optimal state estimators are given, whose recursive version gives a steady-state Kalman filter, where a new algorithm of the Kalman filter gain is proposed. Two new algorithms of the Kalman predictor gain are also derived. Local asymptotic stability of the Kalman filter is proved. The classical Kalman filtering theory is extended and modified. The method used covers unstable systems with correlation noises and singular transition matrix, and also covers the self-tuning white noise, signal and state estimators, when the noise statistics is unknown. To illustrate, three simulation examples are given." @default.
• W2067023456 created "2016-06-24" @default.
• W2067023456 creator A5014606036 @default.
• W2067023456 creator A5053039829 @default.
• W2067023456 creator A5057850852 @default.
• W2067023456 creator A5062250759 @default.
• W2067023456 date "1996-02-01" @default.
• W2067023456 modified "2023-09-30" @default.
• W2067023456 title "Optimal and self-tuning white noise estimators with applications to deconvolution and filtering problems" @default.
• W2067023456 cites W1983448654 @default.
• W2067023456 cites W1992989223 @default.
• W2067023456 cites W1993480174 @default.
• W2067023456 cites W2018324091 @default.
• W2067023456 cites W2025292534 @default.
• W2067023456 cites W2028564320 @default.
• W2067023456 cites W2049688797 @default.
• W2067023456 cites W2051461281 @default.
• W2067023456 cites W2061834319 @default.
• W2067023456 cites W2062844654 @default.
• W2067023456 cites W2070004910 @default.
• W2067023456 cites W2075471053 @default.
• W2067023456 cites W2093303294 @default.
• W2067023456 cites W2118666609 @default.
• W2067023456 cites W2126369440 @default.
• W2067023456 cites W2134474299 @default.
• W2067023456 cites W2156064084 @default.
• W2067023456 cites W2157324529 @default.
• W2067023456 cites W2339524658 @default.
• W2067023456 doi "https://doi.org/10.1016/0005-1098(96)85549-x" @default.
• W2067023456 hasPublicationYear "1996" @default.
• W2067023456 type Work @default.
• W2067023456 sameAs 2067023456 @default.
• W2067023456 citedByCount "88" @default.
• W2067023456 countsByYear W20670234562012 @default.
• W2067023456 countsByYear W20670234562013 @default.
• W2067023456 countsByYear W20670234562014 @default.
• W2067023456 countsByYear W20670234562016 @default.
• W2067023456 countsByYear W20670234562017 @default.
• W2067023456 countsByYear W20670234562019 @default.
• W2067023456 countsByYear W20670234562020 @default.
• W2067023456 countsByYear W20670234562021 @default.
• W2067023456 crossrefType "journal-article" @default.
• W2067023456 hasAuthorship W2067023456A5014606036 @default.
• W2067023456 hasAuthorship W2067023456A5053039829 @default.
• W2067023456 hasAuthorship W2067023456A5057850852 @default.
• W2067023456 hasAuthorship W2067023456A5062250759 @default.
• W2067023456 hasConcept C105795698 @default.
• W2067023456 hasConcept C106131492 @default.
• W2067023456 hasConcept C112633086 @default.
• W2067023456 hasConcept C11413529 @default.
• W2067023456 hasConcept C11588082 @default.
• W2067023456 hasConcept C115961682 @default.
• W2067023456 hasConcept C150679823 @default.
• W2067023456 hasConcept C154945302 @default.
• W2067023456 hasConcept C157286648 @default.
• W2067023456 hasConcept C159877910 @default.
• W2067023456 hasConcept C174576160 @default.
• W2067023456 hasConcept C185429906 @default.
• W2067023456 hasConcept C206833254 @default.
• W2067023456 hasConcept C2775924081 @default.
• W2067023456 hasConcept C31972630 @default.
• W2067023456 hasConcept C33923547 @default.
• W2067023456 hasConcept C41008148 @default.
• W2067023456 hasConcept C47446073 @default.
• W2067023456 hasConcept C50050547 @default.
• W2067023456 hasConcept C74883015 @default.
• W2067023456 hasConcept C8639503 @default.
• W2067023456 hasConcept C99498987 @default.
• W2067023456 hasConceptScore W2067023456C105795698 @default.
• W2067023456 hasConceptScore W2067023456C106131492 @default.
• W2067023456 hasConceptScore W2067023456C112633086 @default.
• W2067023456 hasConceptScore W2067023456C11413529 @default.
• W2067023456 hasConceptScore W2067023456C11588082 @default.
• W2067023456 hasConceptScore W2067023456C115961682 @default.
• W2067023456 hasConceptScore W2067023456C150679823 @default.
• W2067023456 hasConceptScore W2067023456C154945302 @default.
• W2067023456 hasConceptScore W2067023456C157286648 @default.
• W2067023456 hasConceptScore W2067023456C159877910 @default.
• W2067023456 hasConceptScore W2067023456C174576160 @default.
• W2067023456 hasConceptScore W2067023456C185429906 @default.
• W2067023456 hasConceptScore W2067023456C206833254 @default.
• W2067023456 hasConceptScore W2067023456C2775924081 @default.
• W2067023456 hasConceptScore W2067023456C31972630 @default.
• W2067023456 hasConceptScore W2067023456C33923547 @default.
• W2067023456 hasConceptScore W2067023456C41008148 @default.
• W2067023456 hasConceptScore W2067023456C47446073 @default.
• W2067023456 hasConceptScore W2067023456C50050547 @default.
• W2067023456 hasConceptScore W2067023456C74883015 @default.
• W2067023456 hasConceptScore W2067023456C8639503 @default.
• W2067023456 hasConceptScore W2067023456C99498987 @default.
• W2067023456 hasIssue "2" @default.
• W2067023456 hasLocation W20670234561 @default.
• W2067023456 hasOpenAccess W2067023456 @default.
• W2067023456 hasPrimaryLocation W20670234561 @default.
• W2067023456 hasRelatedWork W2182059946 @default.
• W2067023456 hasRelatedWork W2348123856 @default.
• W2067023456 hasRelatedWork W2350198701 @default.
• W2067023456 hasRelatedWork W2374673609 @default.

• next