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Distributed and Decentralized State Estimation of Fractional Order Systems

Kupper, Martin 1; Gil, Iñigo Sesar 1; Hohmann, Sören 1
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)


This paper is about the decentralization and distribution of a Kalman filter for fractional order systems. A fractional order discrete state space for a global system is introduced and divided into different submodules. The distribution
of the model and of the state estimation algorithm into submodules leads to small and scalable units, which do not
need a central processing node. Each submodule performs its computation locally. All information required by other nodes is communicated between the nodes directly. Finally, an example is given to compare the fractional Kalman filter (FKF) for the overall system with the distributed and decentralized fractional Kalman filter (DDFKF).

Volltext §
DOI: 10.5445/IR/1000062089
DOI: 10.1109/ACC.2016.7525337
Zitationen: 10
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2016
Sprache Englisch
Identifikator ISBN: 978-1-4673-8682-1
KITopen-ID: 1000062089
Erschienen in Proceedings of the 2016 American Control Conference (ACC), Boston, Massachusetts, USA, 6th - 8th July 2016
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 2765-2771
Nachgewiesen in Scopus
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