ROTATED UNSCENTED KALMAN FILTER FOR TWO STATE NONLINEAR SYSTEMS

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AKBARI MOHAMMAD ESMAEIL; TASHAHODJAMAL SEPIDEH

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Journal Paper

Paper Information

Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING Year:2013 | Volume:1 | Issue:4 Page(s): 44-50

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Information Journal Paper

Title

ROTATED UNSCENTED KALMAN FILTER FOR TWO STATE NONLINEAR SYSTEMS

Author(s)

AKBARI MOHAMMAD ESMAEIL | TASHAHODJAMAL SEPIDEH | Issue Writer Certificate

Keywords

EXTENDED KALMAN FILTER (EKF)

UNSCENTED KALMAN FILTER (UKF)

ROTATED UKF (R-UKF)

Abstract

In the several past years, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) have became 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 yield with UKF for the most nonlinear systems. In this paper, we use a new approach for a two variable state nonlinear systems which it is called Rotated UKF (R_UKF). R_UKF can be reduced estimation error and reached for least error in state estimation.

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References

THE UNSCENTED KALMAN FILTER FOR NONLINEAR ESTIMATION

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APA: Copy

AKBARI, MOHAMMAD ESMAEIL, & TASHAHODJAMAL, SEPIDEH. (2013). ROTATED UNSCENTED KALMAN FILTER FOR TWO STATE NONLINEAR SYSTEMS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 1(4), 44-50. SID. https://sid.ir/paper/333782/en

Vancouver: Copy

AKBARI MOHAMMAD ESMAEIL, TASHAHODJAMAL SEPIDEH. ROTATED UNSCENTED KALMAN FILTER FOR TWO STATE NONLINEAR SYSTEMS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2013;1(4):44-50. Available from: https://sid.ir/paper/333782/en

IEEE: Copy

MOHAMMAD ESMAEIL AKBARI, and SEPIDEH TASHAHODJAMAL, “ROTATED UNSCENTED KALMAN FILTER FOR TWO STATE NONLINEAR SYSTEMS,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 1, no. 4, pp. 44–50, 2013, [Online]. Available: https://sid.ir/paper/333782/en

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