کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
690099 1460380 2008 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applying the unscented Kalman filter for nonlinear state estimation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
Applying the unscented Kalman filter for nonlinear state estimation
چکیده انگلیسی

Based on presentation of the principles of the EKF and UKF for state estimation, we discuss the differences of the two approaches. Four rather different simulation cases are considered to compare the performance. A simple procedure to include state constraints in the UKF is proposed and tested. The overall impression is that the performance of the UKF is better than the EKF in terms of robustness and speed of convergence. The computational load in applying the UKF is comparable to the EKF.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 18, Issues 7–8, August–September 2008, Pages 753–768
نویسندگان
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