Jan 1, 2021 · The fuzzy Kalman filter (FKF), introduced some years ago, is revisited. In the initial version, trapezoidal possibility distributions ...
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A new filtering algorithm, called Fuzzy Kalman Filtering (FKF) algorithm. This algorithm preserves the same recursive mechanism of the KF and IKF.
In this thesis, an adaptive algorithm which employs fuzzy logic rules is used to adapt the Kalman filter to accommodate changes in the system parameters. The ...
The fuzzy-adapted Kalman filter showed better results than its traditional counterparts. Key words: Adaptive Kalman filtering; fuzzy systems; filter.
This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time attitude estimation of agile mobile platforms equipped with ...
Experimental results of an adaptive fuzzy network Kalman filtering ...
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The performance of Kalman filter is highly dependent on the availability of two basic requirements: (1) accurate dynamic modeling and (2) proper ...
Kalman Filtering is revised to enable the incorporation of fuzzy logic in its formulation. This formulation is subsequently referred to as the Revised-. Kalman ...
A new filtering algorithm, called Fuzzy Kalman Filtering (FKF) algorithm. This algorithm preserves the same recursive mechanism of the KF and IKF.
In this thesis, an adaptive algorithm which employs fuzzy logic rules is used to adapt the Kalman filter to accommodate changes in the system parameters. The ...
The fuzzy Kalman filter uses a set of fuzzy rules to adaptively control the noise covariance and that makes it more suitable for real radar tracking. The ...
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