Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366753657> ?p ?o ?g. }
- W4366753657 endingPage "101814" @default.
- W4366753657 startingPage "101814" @default.
- W4366753657 abstract "In this paper, the recursive fusion estimation problem is investigated for a class of state-saturated systems with two groups of sensors, one with instantaneous measurements and the other with delayed measurements. The phenomena of sensor gain degradations and sensor measurement delays are regulated by a number of mutually independent random variables that are uniformly distributed over known intervals. First, an equivalent model to the original measurement system is constructed by reorganizing the instantaneous and delayed measurements. Then, by turning to a constrained variance method, we construct an upper bound of the estimation error covariance by solving two Riccati-like recursive equations whose dimension is the same as that of the original system. Subsequently, the estimator gain matrix is computed through minimizing the constructed upper bound, and the boundedness of the acquired upper bound is also discussed. Finally, we provide a simulation example to verify the usefulness of our designed fusion estimation algorithm." @default.
- W4366753657 created "2023-04-24" @default.
- W4366753657 creator A5013280253 @default.
- W4366753657 creator A5048831651 @default.
- W4366753657 creator A5050530612 @default.
- W4366753657 creator A5067275668 @default.
- W4366753657 date "2023-09-01" @default.
- W4366753657 modified "2023-10-04" @default.
- W4366753657 title "Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors" @default.
- W4366753657 cites W1241976795 @default.
- W4366753657 cites W1595520223 @default.
- W4366753657 cites W1751336109 @default.
- W4366753657 cites W1963636353 @default.
- W4366753657 cites W2030600611 @default.
- W4366753657 cites W2041506226 @default.
- W4366753657 cites W2064166892 @default.
- W4366753657 cites W2065523600 @default.
- W4366753657 cites W2115545972 @default.
- W4366753657 cites W2119295915 @default.
- W4366753657 cites W2141604475 @default.
- W4366753657 cites W2167229292 @default.
- W4366753657 cites W2169329579 @default.
- W4366753657 cites W2560193996 @default.
- W4366753657 cites W2566133870 @default.
- W4366753657 cites W2603428934 @default.
- W4366753657 cites W2606519034 @default.
- W4366753657 cites W2617283181 @default.
- W4366753657 cites W2623952261 @default.
- W4366753657 cites W2755153992 @default.
- W4366753657 cites W2760732803 @default.
- W4366753657 cites W2791235767 @default.
- W4366753657 cites W2793894674 @default.
- W4366753657 cites W2885136026 @default.
- W4366753657 cites W2912965654 @default.
- W4366753657 cites W2926682580 @default.
- W4366753657 cites W2946428640 @default.
- W4366753657 cites W2959027807 @default.
- W4366753657 cites W2964172224 @default.
- W4366753657 cites W2969545014 @default.
- W4366753657 cites W3007953040 @default.
- W4366753657 cites W3016124163 @default.
- W4366753657 cites W3035907837 @default.
- W4366753657 cites W3083944506 @default.
- W4366753657 cites W3092105440 @default.
- W4366753657 cites W3130981400 @default.
- W4366753657 cites W3135216818 @default.
- W4366753657 cites W3161924167 @default.
- W4366753657 cites W3187593522 @default.
- W4366753657 cites W3197276648 @default.
- W4366753657 cites W3203258626 @default.
- W4366753657 cites W3211121045 @default.
- W4366753657 cites W3213666303 @default.
- W4366753657 cites W3215453560 @default.
- W4366753657 cites W4210848839 @default.
- W4366753657 cites W4220777151 @default.
- W4366753657 cites W4220980178 @default.
- W4366753657 cites W4281709729 @default.
- W4366753657 cites W4293193340 @default.
- W4366753657 cites W4306873945 @default.
- W4366753657 doi "https://doi.org/10.1016/j.inffus.2023.101814" @default.
- W4366753657 hasPublicationYear "2023" @default.
- W4366753657 type Work @default.
- W4366753657 citedByCount "0" @default.
- W4366753657 crossrefType "journal-article" @default.
- W4366753657 hasAuthorship W4366753657A5013280253 @default.
- W4366753657 hasAuthorship W4366753657A5048831651 @default.
- W4366753657 hasAuthorship W4366753657A5050530612 @default.
- W4366753657 hasAuthorship W4366753657A5067275668 @default.
- W4366753657 hasBestOaLocation W43667536571 @default.
- W4366753657 hasConcept C105795698 @default.
- W4366753657 hasConcept C106131492 @default.
- W4366753657 hasConcept C106487976 @default.
- W4366753657 hasConcept C11413529 @default.
- W4366753657 hasConcept C121955636 @default.
- W4366753657 hasConcept C126255220 @default.
- W4366753657 hasConcept C134306372 @default.
- W4366753657 hasConcept C144133560 @default.
- W4366753657 hasConcept C154945302 @default.
- W4366753657 hasConcept C159985019 @default.
- W4366753657 hasConcept C178650346 @default.
- W4366753657 hasConcept C185142706 @default.
- W4366753657 hasConcept C185429906 @default.
- W4366753657 hasConcept C192562407 @default.
- W4366753657 hasConcept C196083921 @default.
- W4366753657 hasConcept C202444582 @default.
- W4366753657 hasConcept C22597639 @default.
- W4366753657 hasConcept C2775924081 @default.
- W4366753657 hasConcept C28826006 @default.
- W4366753657 hasConcept C31972630 @default.
- W4366753657 hasConcept C33676613 @default.
- W4366753657 hasConcept C33923547 @default.
- W4366753657 hasConcept C41008148 @default.
- W4366753657 hasConcept C47446073 @default.
- W4366753657 hasConcept C48103436 @default.
- W4366753657 hasConcept C70518719 @default.
- W4366753657 hasConcept C76826599 @default.
- W4366753657 hasConcept C77553402 @default.
- W4366753657 hasConceptScore W4366753657C105795698 @default.