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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-2789a970-11b3-4b4f-8dfd-41c0ff1cd6b5

Czasopismo

Control and Cybernetics

Tytuł artykułu

Fusion filtration in LQG control for multisensor systems

Autorzy Duda, Z. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN In the paper, state filtration in a LQG problem formulated for a multisensor system is considered. Control is determined by a central node as a linear form of a state estimate. It is assumed that control values are not available to local nodes. Because of the drawbacks of centralized filtration an optimal fusion of decentralized local Kalman filters is proposed. When control values are not available to local nodes, then control should be treated as a random variable in the synthesis of local state estimates. This leads to a non-classical estimation. It is shown that the proposed filter is equivalent to the centralized one.
Słowa kluczowe
EN multisensor system   Kalman filter   LQG problem   fusion filtration  
Wydawca Systems Research Institute, Polish Academy of Sciences
Czasopismo Control and Cybernetics
Rocznik 2013
Tom Vol. 42, no. 4
Strony 743--754
Opis fizyczny Bibliogr. 13 poz.
Twórcy
autor Duda, Z.
  • Institute of Automatic Control Silesian Technical University ul. Akademicka 16, 44-101 Gliwice, Poland, zdzislaw.duda@polsl.pl
Bibliografia
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9. Sijs J., Lazar M., Van den Bosch P.P.J. and Papp Z. (2008) An overview of non-centralized Kalman filters. Proc. of the 17th IEEE Int. Conf. On Control Appl. IEEE, 739–744.
10. Schlosser M.S. and Kroschel K. (2007) Performance analysis of decentralized Kalman Filters under Communication Constraints. Journal of Advances in Information Fusion 2, 65-75.
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