کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
567183 | 876055 | 2007 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A low-complexity suboptimal filter for continuous–discrete linear systems with parametric uncertainties
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A low-complexity suboptimal filter for continuous–discrete linear systems with parametric uncertainties A low-complexity suboptimal filter for continuous–discrete linear systems with parametric uncertainties](/preview/png/567183.png)
چکیده انگلیسی
We present a novel suboptimal filtering algorithm addressing estimation problems that arise in mixed continuous–discrete linear time-varying systems with stochastic parametric uncertainties. The suboptimal state estimate is formed by summing of local Kalman estimates with weights depending only on time instants tktk. In contrast to optimal weights, the suboptimal weights do not depend on current measurements, and thus the proposed filter is of a low-complexity and it can easily be implemented in real-time. High accuracy and efficiency of the suboptimal filter are demonstrated on the damper harmonic oscillator motion and the vehicle motion constrained to a plane.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 87, Issue 10, October 2007, Pages 2392–2406
Journal: Signal Processing - Volume 87, Issue 10, October 2007, Pages 2392–2406
نویسندگان
Vladimir Shin, Du Yong Kim, Georgy Shevlyakov, Kiseon Kim,