Matches in SemOpenAlex for { <https://semopenalex.org/work/W3210365586> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W3210365586 endingPage "11" @default.
- W3210365586 startingPage "1" @default.
- W3210365586 abstract "This paper proposes a new algorithm for the aerodynamic parameter and noise estimation for aircraft dynamical systems. The Bayesian inference method is combined with an unscented Kalman filter to estimate the augmented states and the unknown noise covariance parameters jointly. A Gauss-Newton method is utilized to sequentially maximize the posterior likelihood function for the noise unknown parameter estimation. The performance of the proposed algorithm is evaluated and compared with two other UKFs via a flight scenario of a given aircraft. The results indicate that the proposed algorithm has equivalent performance to the simplified UKF with prior noise information and slightly outperforms the parallel UKF on precision and efficiency in this flight scenario assessment. Then, the consistency and accuracy of the algorithm are further validated by a Monte Carlo simulation with random process noise covariance. This adaptive algorithm provides another feasible and effective way for estimating aerodynamic parameters from the aircraft real flight data with unknown noise characteristics." @default.
- W3210365586 created "2021-11-08" @default.
- W3210365586 creator A5005685127 @default.
- W3210365586 creator A5032572295 @default.
- W3210365586 creator A5045504341 @default.
- W3210365586 date "2021-10-22" @default.
- W3210365586 modified "2023-10-14" @default.
- W3210365586 title "A Bayesian Adaptive Unscented Kalman Filter for Aircraft Parameter and Noise Estimation" @default.
- W3210365586 cites W1903830025 @default.
- W3210365586 cites W1987073005 @default.
- W3210365586 cites W1990766125 @default.
- W3210365586 cites W1995070248 @default.
- W3210365586 cites W2045459132 @default.
- W3210365586 cites W2048186086 @default.
- W3210365586 cites W2071317186 @default.
- W3210365586 cites W2072471562 @default.
- W3210365586 cites W2072884192 @default.
- W3210365586 cites W2124049286 @default.
- W3210365586 cites W2149143501 @default.
- W3210365586 cites W2154345211 @default.
- W3210365586 cites W2157098139 @default.
- W3210365586 cites W2172068973 @default.
- W3210365586 cites W2318704832 @default.
- W3210365586 cites W2331794256 @default.
- W3210365586 cites W2585961077 @default.
- W3210365586 cites W2604331540 @default.
- W3210365586 cites W2617249675 @default.
- W3210365586 cites W2766999452 @default.
- W3210365586 cites W3080969264 @default.
- W3210365586 doi "https://doi.org/10.1155/2021/9002643" @default.
- W3210365586 hasPublicationYear "2021" @default.
- W3210365586 type Work @default.
- W3210365586 sameAs 3210365586 @default.
- W3210365586 citedByCount "4" @default.
- W3210365586 countsByYear W32103655862022 @default.
- W3210365586 countsByYear W32103655862023 @default.
- W3210365586 crossrefType "journal-article" @default.
- W3210365586 hasAuthorship W3210365586A5005685127 @default.
- W3210365586 hasAuthorship W3210365586A5032572295 @default.
- W3210365586 hasAuthorship W3210365586A5045504341 @default.
- W3210365586 hasBestOaLocation W32103655861 @default.
- W3210365586 hasConcept C105795698 @default.
- W3210365586 hasConcept C112633086 @default.
- W3210365586 hasConcept C11413529 @default.
- W3210365586 hasConcept C115961682 @default.
- W3210365586 hasConcept C139399703 @default.
- W3210365586 hasConcept C154945302 @default.
- W3210365586 hasConcept C157286648 @default.
- W3210365586 hasConcept C167928553 @default.
- W3210365586 hasConcept C178650346 @default.
- W3210365586 hasConcept C19499675 @default.
- W3210365586 hasConcept C206833254 @default.
- W3210365586 hasConcept C2775924081 @default.
- W3210365586 hasConcept C33923547 @default.
- W3210365586 hasConcept C41008148 @default.
- W3210365586 hasConcept C47446073 @default.
- W3210365586 hasConcept C76155785 @default.
- W3210365586 hasConcept C8639503 @default.
- W3210365586 hasConcept C99498987 @default.
- W3210365586 hasConceptScore W3210365586C105795698 @default.
- W3210365586 hasConceptScore W3210365586C112633086 @default.
- W3210365586 hasConceptScore W3210365586C11413529 @default.
- W3210365586 hasConceptScore W3210365586C115961682 @default.
- W3210365586 hasConceptScore W3210365586C139399703 @default.
- W3210365586 hasConceptScore W3210365586C154945302 @default.
- W3210365586 hasConceptScore W3210365586C157286648 @default.
- W3210365586 hasConceptScore W3210365586C167928553 @default.
- W3210365586 hasConceptScore W3210365586C178650346 @default.
- W3210365586 hasConceptScore W3210365586C19499675 @default.
- W3210365586 hasConceptScore W3210365586C206833254 @default.
- W3210365586 hasConceptScore W3210365586C2775924081 @default.
- W3210365586 hasConceptScore W3210365586C33923547 @default.
- W3210365586 hasConceptScore W3210365586C41008148 @default.
- W3210365586 hasConceptScore W3210365586C47446073 @default.
- W3210365586 hasConceptScore W3210365586C76155785 @default.
- W3210365586 hasConceptScore W3210365586C8639503 @default.
- W3210365586 hasConceptScore W3210365586C99498987 @default.
- W3210365586 hasFunder F4320321001 @default.
- W3210365586 hasLocation W32103655861 @default.
- W3210365586 hasLocation W32103655862 @default.
- W3210365586 hasOpenAccess W3210365586 @default.
- W3210365586 hasPrimaryLocation W32103655861 @default.
- W3210365586 hasRelatedWork W1975062843 @default.
- W3210365586 hasRelatedWork W2127064735 @default.
- W3210365586 hasRelatedWork W2275886096 @default.
- W3210365586 hasRelatedWork W2360000509 @default.
- W3210365586 hasRelatedWork W2398969486 @default.
- W3210365586 hasRelatedWork W2498868696 @default.
- W3210365586 hasRelatedWork W2752554645 @default.
- W3210365586 hasRelatedWork W3141000504 @default.
- W3210365586 hasRelatedWork W3213241576 @default.
- W3210365586 hasRelatedWork W4293731262 @default.
- W3210365586 hasVolume "2021" @default.
- W3210365586 isParatext "false" @default.
- W3210365586 isRetracted "false" @default.
- W3210365586 magId "3210365586" @default.
- W3210365586 workType "article" @default.