کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565649 875802 2010 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory
چکیده انگلیسی

This series of two papers presents a method for estimating nonparametric noise and frequency response function models of multivariable linear dynamic systems excited by arbitrary inputs. It extends the results of Schoukens et al. (2006) [1] and Schoukens and Pintelon (2009) [2] from single input, single output systems with known input and noisy output observations (=outputerrorproblem), to multiple input, multiple output systems where both the input and output are disturbed by noise (=errors‐in‐variables problem=errors‐in‐variables problem). In Part I, the theory is developed for linear dynamic multivariable output error problems. The results are supported by simulations. A detailed comparison with the classical spectral analysis based on correlation techniques shows that the proposed procedures are more robust. In Part II (Pintelon et al., 2009) [3], the method first is applied to nonlinear systems, and parametric identification within a generalized output error framework. Next, it is extended to handle errors-in-variables problems, and identification in feedback. Finally, it is illustrated on four real measurement examples.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 24, Issue 3, April 2010, Pages 573–595
نویسندگان
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