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dc.contributor.authorJi, Den
dc.contributor.authorDeng, Zen
dc.contributor.authorLi, Sen
dc.contributor.authorMa, Den
dc.contributor.authorWang, Ten
dc.contributor.authorSong, Wen
dc.contributor.authorZhu, Sen
dc.contributor.authorWang, Zen
dc.contributor.authorPan, Hen
dc.contributor.authorSharma, Sen
dc.contributor.authorYang, Xen

© 2013 IEEE. This technical note presents a case of practical exponential observer using extended Kalman filter (EKF) independent of certain restrictions, such as online check and estimation error of initial state. Recursive state estimation is usually a challenge for discrete-time nonlinear system in terms of computation cost. EKF is attractive with its simplicity since it is considered as an exponential observer given the above restrictions. However, those restrictions are so mathematically complicated that EKF cannot be practical in estimation. A novel case for an exponential observer using EKF is proposed, which is independent of such restrictions. However, these restrictions are proved to be unnecessary in the case. The proposed case is illustrated by a navigation system scenario. The validity of the case is demonstrated by a numerical simulation experiment. The system is deterministic.

dc.format.extent58004 - 58011en
dc.titleA Novel Case of Practical Exponential Observer Using Extended Kalman Filteren
dc.typeJournal Article
plymouth.journalIEEE Accessen
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.rights.embargoperiodNot knownen
rioxxterms.typeJournal Article/Reviewen

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