کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
718656 | 892263 | 2011 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A New Paradigm for State Estimation in Nonlinear Systems via Minimum Distortion Filtering
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
It is well know that, for linear gaussian processes, the Kalman Filter provides an elegant solution to the recursive state estimation problem. However, when the process is nonlinear, then one needs to use various approximations to the filtering problem. In this paper we describe a new approach to nonlinear filtering based on Minimum Distortion Filtering. At the core of this algorithm is a deterministic on-line griding technique based on Vector Quantization. We explore several practical issues associated with the algorithm which are necessary to ensure that it runs effectively. We also present several examples which illustrate the utility of this class of algorithm in the context of nonlinear state estimation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 44, Issue 1, January 2011, Pages 26–31
Journal: IFAC Proceedings Volumes - Volume 44, Issue 1, January 2011, Pages 26–31
نویسندگان
Mauricio G. Cea, Graham C. Goodwin,