Details

Title

Novel Variable Structure Measurement System with Intelligent Components for Flight Vehicles

Journal title

Metrology and Measurement Systems

Yearbook

2017

Volume

vol. 24

Numer

No 2

Authors

Keywords

flight vehicle ; variable structure measurement system ; the degree of observability ; self-organization algorithm ; Integrated Navigation System

Divisions of PAS

Nauki Techniczne

Coverage

347–356

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2017.06.30

Type

Artykuły / Articles

Identifier

ISSN 0860-8229

References

Selezneva (2016), Development of a measurement complex with intelligent component, Measurement Techniques, 59, 916. ; Xing (2016), Distributed federated Kalman filter fusion over multi - sensor unreliable networked systems Transactions on Circuits and Systems, IEEE, 63, 1714. ; Chen (1991), Local observability and its application to multiple measurement estimation on, IEEE Transactions Industrial Electronics, 38, 491. ; Neusypin (2014), Aircraft self - organization algorithm with redundant trend of Nanjing University of Science and Technology, Journal, 5, 602. ; Mirosław (2015), Application of Kalman filter in navigation process of automated guided vehicles, Metrol Meas Syst, 22, 443. ; Shen (2014), On state estimation of dynamic systems by applying scalar estimation algorithms of IEEE Chinese Guidance Navigation and Control Conference China, Proceedings, 8, 124. ; Won (2014), GNSS integration with vision - based navigation for low GNSS visibility conditions, GPS Solutions, 18, 177. ; Carlson (1990), Federated square root filter for decentralized parallel processors Transactions on Aerospace and Electronic Systems, IEEE, 26, 517. ; Groves (2006), Optimising the integration of terrain - referenced navigation with INS and GPS of, Journal Navigation, 59, 71. ; Proletarsky (2015), Intelligent control systems : Contemporary problems in theory and implementation in practice th International Workshop on Computer Science and : Information Processing and Control Engineering, Engineering, 5, 15.

DOI

10.1515/mms-2017-0025

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