![](/images/graphics-bg.png)
Multiple-Model Adaptive Estimation with A New Weighting Algorithm
Joint Authors
Zhang, Weicun
Wang, Sufang
Zhang, Yuzhen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The state estimation of a complex dynamic stochastic system is described by a discrete-time state-space model with large parameter (including the covariance matrices of system noises and measurement noises) uncertainties.
A new scheme of weighted multiple-model adaptive estimation is presented, in which the classical weighting algorithm is replaced by a new weighting algorithm to reduce the calculation burden and to relax the convergence conditions.
Finally, simulation results verified the effectiveness of the proposed MMAE scheme for each possibility of parameter uncertainties.
American Psychological Association (APA)
Zhang, Weicun& Wang, Sufang& Zhang, Yuzhen. 2018. Multiple-Model Adaptive Estimation with A New Weighting Algorithm. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1134360
Modern Language Association (MLA)
Zhang, Weicun…[et al.]. Multiple-Model Adaptive Estimation with A New Weighting Algorithm. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1134360
American Medical Association (AMA)
Zhang, Weicun& Wang, Sufang& Zhang, Yuzhen. Multiple-Model Adaptive Estimation with A New Weighting Algorithm. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1134360
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134360