کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
559486 1451887 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time nonlinear structural system identification via iterated unscented Kalman filter
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Real-time nonlinear structural system identification via iterated unscented Kalman filter
چکیده انگلیسی

Structural system identification has attracted much attention in the structural dynamics field over the past decades. The unscented Kalman filter (UKF) is often used to deal with nonlinear system identification in civil engineering field. In practices, applying a UKF to highly nonlinear structural systems is not a trivial task, particularly those subject to severe loading. Recently, a new technique, the iterated unscented Kalman filter (IUKF) is applicable to highly nonlinear systems. In this paper, the IUKF is applied for nonlinear structural system identification (NSSI). Experimental results show that the IUKF produces better state estimation and parameter identification than the UKF, and the IUKF is also more robust to measurement noise levels.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 28, April 2012, Pages 309–322
نویسندگان
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