The lower-order suboptimal filter for discrete nonlinear systems

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The lower-order suboptimal filtering method for estimating the state vector for a special class of discrete nonlinear systems is proposed. The dimension of state in this filter is less than that in the extended Kalman filter. The comparative less computation time required for calculation of the filter gains and implementation of the estimation process make it possible to apply this method to multidimensional dynamic systems in realtime. Examples are presented.
Publisher
Pergamon-Elsevier Science Ltd
Issue Date
1996-02
Language
English
Article Type
Article
Citation

COMPUTERS & MATHEMATICS WITH APPLICATIONS, v.31, no.7, pp.9 - 16

ISSN
0898-1221
URI
http://hdl.handle.net/10203/69034
Appears in Collection
MA-Journal Papers(저널논문)
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