کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4976791 1451836 2018 35 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough
چکیده انگلیسی
This paper proposes a joint input-state estimation technique that can estimate unknown inputs, states and parameters of dynamic systems with direct feedthrough. The estimation is performed in a minimum variance unbiased manner, based on measurements from the dynamic system. This paper also presents a novel unscented minimum variance unbiased (UMVU) estimation scheme to realize the proposed estimator via unscented transform. Five UMVU variants are implemented and applied in the numerical study. The results have shown successful estimation of unknown inputs and states, and accurate identification of unknown system parameters. The characteristics and performance of the five UMVU variants are also demonstrated through the comparison of the results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 99, 15 January 2018, Pages 886-920
نویسندگان
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