rotated unscented kalman filter for two state nonlinear systems

نویسندگان
چکیده

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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عنوان ژورنال:
journal of artificial intelligence in electrical engineering

جلد ۱، شماره ۴، صفحات ۴۴-۴۸

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