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عنوان مقاله:particle and sigma -point kalman filters: a comparison of performance
نوع ارائه:-
زبان مقاله:انگلیسی
تعداد صفخات:11
حجم فایل:2.49 مگابايت
زبان مقاله:انگلیسی
تعداد صفخات:11
حجم فایل:2.49 مگابايت
سرفصل مقاله:اجراي لرزه اي سازه ها
محل انتشار:اولين كنفرانس ساخت و ساز شهري در مجاورت گسلهاي فعال
سال انتشار:1390
محل انتشار:اولين كنفرانس ساخت و ساز شهري در مجاورت گسلهاي فعال
سال انتشار:1390
نمایش چکیده مقاله
particle and sigma -point kalman filters: a comparison of performance
saeed eftekharazam [politecnico di milano , dipartimento di ingegneria strutturale piazza]
stefano mariani []
چکیده مقاله:
aiming to track the full state of a nonlinearly evolving structural system and simultaneously calibrate its constitutive model in this paper we compare the performances of the sigma - point kalman filter S-PKF , of a standard particle filter PF, and of an extended kalman -particle filter EK- PF. to ensure that structural responses do not affect the filters performances we focus on a single degree - of - freedom DOF system and show that the three filters are all capable to track possible failure mechanisms as far as model calibration is concerned the newly proposed EK-PF performs better than the other two filters providing unbiased parameter estimates even when the system is diverging because of a failure event.
کلمات کلیدی: nonlinear systems sigma - point kalman filtering , particle filtering , state tracking , parameter identification.