Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386134852> ?p ?o ?g. }
- W4386134852 endingPage "7397" @default.
- W4386134852 startingPage "7397" @default.
- W4386134852 abstract "Aiming at the problem of distributed state estimation in sensor networks, a novel optimal distributed finite-time fusion filtering method based on dynamic communication weights has been developed. To tackle the fusion errors caused by incomplete node information in distributed sensor networks, the concept of limited iterations of global information aggregation was introduced, namely, fast finite-time convergence techniques. Firstly, a local filtering algorithm architecture was constructed to achieve fusion error convergence within a limited number of iterations. The maximum number of iterations was derived to be the diameter of the communication topology graph in the sensor network. Based on this, the matrix weight fusion was used to combine the local filtering results, thereby achieving optimal estimation in terms of minimum variance. Next, by introducing the generalized information quality (GIQ) calculation method and associating it with the local fusion result bias, the relative communication weights were obtained and embedded in the fusion algorithm. Finally, the effectiveness and feasibility of the proposed algorithm were validated through numerical simulations and experimental tests." @default.
- W4386134852 created "2023-08-25" @default.
- W4386134852 creator A5000914472 @default.
- W4386134852 creator A5008321836 @default.
- W4386134852 creator A5012656520 @default.
- W4386134852 creator A5072038918 @default.
- W4386134852 creator A5082524675 @default.
- W4386134852 date "2023-08-24" @default.
- W4386134852 modified "2023-10-02" @default.
- W4386134852 title "Optimal Distributed Finite-Time Fusion Method for Multi-Sensor Networks under Dynamic Communication Weight" @default.
- W4386134852 cites W1965705620 @default.
- W4386134852 cites W1969747160 @default.
- W4386134852 cites W1972670477 @default.
- W4386134852 cites W2025677515 @default.
- W4386134852 cites W2057090078 @default.
- W4386134852 cites W2064183516 @default.
- W4386134852 cites W2094975268 @default.
- W4386134852 cites W2095541061 @default.
- W4386134852 cites W2101630657 @default.
- W4386134852 cites W2107396783 @default.
- W4386134852 cites W2281110651 @default.
- W4386134852 cites W2559831896 @default.
- W4386134852 cites W2792773965 @default.
- W4386134852 cites W2807615729 @default.
- W4386134852 cites W2899800370 @default.
- W4386134852 cites W2924411667 @default.
- W4386134852 cites W2963922893 @default.
- W4386134852 cites W2969543086 @default.
- W4386134852 cites W2984850332 @default.
- W4386134852 cites W3014013992 @default.
- W4386134852 cites W3095214464 @default.
- W4386134852 cites W3135079228 @default.
- W4386134852 cites W3198935345 @default.
- W4386134852 cites W3199536408 @default.
- W4386134852 cites W3215920986 @default.
- W4386134852 cites W4205614961 @default.
- W4386134852 cites W4214774250 @default.
- W4386134852 cites W4283808404 @default.
- W4386134852 cites W4289731869 @default.
- W4386134852 cites W4309482395 @default.
- W4386134852 cites W4317243160 @default.
- W4386134852 cites W4353072217 @default.
- W4386134852 cites W4380368891 @default.
- W4386134852 cites W4380996190 @default.
- W4386134852 doi "https://doi.org/10.3390/s23177397" @default.
- W4386134852 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37687852" @default.
- W4386134852 hasPublicationYear "2023" @default.
- W4386134852 type Work @default.
- W4386134852 citedByCount "1" @default.
- W4386134852 countsByYear W43861348522023 @default.
- W4386134852 crossrefType "journal-article" @default.
- W4386134852 hasAuthorship W4386134852A5000914472 @default.
- W4386134852 hasAuthorship W4386134852A5008321836 @default.
- W4386134852 hasAuthorship W4386134852A5012656520 @default.
- W4386134852 hasAuthorship W4386134852A5072038918 @default.
- W4386134852 hasAuthorship W4386134852A5082524675 @default.
- W4386134852 hasBestOaLocation W43861348521 @default.
- W4386134852 hasConcept C11413529 @default.
- W4386134852 hasConcept C126255220 @default.
- W4386134852 hasConcept C127413603 @default.
- W4386134852 hasConcept C132525143 @default.
- W4386134852 hasConcept C138885662 @default.
- W4386134852 hasConcept C154945302 @default.
- W4386134852 hasConcept C158525013 @default.
- W4386134852 hasConcept C162324750 @default.
- W4386134852 hasConcept C24590314 @default.
- W4386134852 hasConcept C2777303404 @default.
- W4386134852 hasConcept C31258907 @default.
- W4386134852 hasConcept C33923547 @default.
- W4386134852 hasConcept C33954974 @default.
- W4386134852 hasConcept C41008148 @default.
- W4386134852 hasConcept C41895202 @default.
- W4386134852 hasConcept C50522688 @default.
- W4386134852 hasConcept C62611344 @default.
- W4386134852 hasConcept C66938386 @default.
- W4386134852 hasConcept C80444323 @default.
- W4386134852 hasConceptScore W4386134852C11413529 @default.
- W4386134852 hasConceptScore W4386134852C126255220 @default.
- W4386134852 hasConceptScore W4386134852C127413603 @default.
- W4386134852 hasConceptScore W4386134852C132525143 @default.
- W4386134852 hasConceptScore W4386134852C138885662 @default.
- W4386134852 hasConceptScore W4386134852C154945302 @default.
- W4386134852 hasConceptScore W4386134852C158525013 @default.
- W4386134852 hasConceptScore W4386134852C162324750 @default.
- W4386134852 hasConceptScore W4386134852C24590314 @default.
- W4386134852 hasConceptScore W4386134852C2777303404 @default.
- W4386134852 hasConceptScore W4386134852C31258907 @default.
- W4386134852 hasConceptScore W4386134852C33923547 @default.
- W4386134852 hasConceptScore W4386134852C33954974 @default.
- W4386134852 hasConceptScore W4386134852C41008148 @default.
- W4386134852 hasConceptScore W4386134852C41895202 @default.
- W4386134852 hasConceptScore W4386134852C50522688 @default.
- W4386134852 hasConceptScore W4386134852C62611344 @default.
- W4386134852 hasConceptScore W4386134852C66938386 @default.
- W4386134852 hasConceptScore W4386134852C80444323 @default.
- W4386134852 hasFunder F4320321543 @default.
- W4386134852 hasIssue "17" @default.
- W4386134852 hasLocation W43861348521 @default.