rotated unscented kalman filter for two state nonlinear systems
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abstract
in the several past years, extended kalman filter (ekf) and unscented kalman filter (ukf) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.the ukf has consistently outperformed for estimation. sometimes least estimation error doesn't yieldwith ukf for the most nonlinear systems. in this paper, we use a new approach for a two variablestate nonlinear systems which it is called rotated ukf (r_ukf). r_ukf can be reduced estimationerror and reached for least error in state estimation.
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Journal title:
journal of artificial intelligence in electrical engineeringجلد ۱، شماره ۴، صفحات ۴۴-۴۸
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