A New Adaptive Extended Kalman Filter for a Class of Nonlinear Systems
This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recur...
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| Format: | Article |
| Language: | English |
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Shahid Chamran University of Ahvaz
2020-01-01
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| Series: | Journal of Applied and Computational Mechanics |
| Subjects: | |
| Online Access: | http://jacm.scu.ac.ir/article_14168_e990e2fdd74ab774010b5ce26200710c.pdf |