A comparison study for the estimation of SOFC internal dynamic states in complex power systems using filtering algorithms

Yu, Shenglong, Fernando, Tyrone and Iu, Herbert Ho-Ching 2017, A comparison study for the estimation of SOFC internal dynamic states in complex power systems using filtering algorithms, IEEE transactions on industrial informatics, vol. 13, no. 3, pp. 1027-1035, doi: 10.1109/TII.2016.2593654.

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Title A comparison study for the estimation of SOFC internal dynamic states in complex power systems using filtering algorithms
Author(s) Yu, ShenglongORCID iD for Yu, Shenglong orcid.org/0000-0002-2983-7344
Fernando, Tyrone
Iu, Herbert Ho-Ching
Journal name IEEE transactions on industrial informatics
Volume number 13
Issue number 3
Start page 1027
End page 1035
Total pages 9
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2017-06
ISSN 1551-3203
Keyword(s) Dynamic state estimation
Extended Kalman filter (EKF)
Particle filter (PF)
Solid oxide fuel cell (SOFC)
Unscented Kalman filter (UKF)
Science & Technology
Technology
Automation & Control Systems
Computer Science, Interdisciplinary Applications
Engineering, Industrial
Computer Science
Engineering
Language eng
DOI 10.1109/TII.2016.2593654
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30129114

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