کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
168231 1423405 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recursive State-space Model Identification of Non-uniformly Sampled Systems Using Singular Value Decomposition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Recursive State-space Model Identification of Non-uniformly Sampled Systems Using Singular Value Decomposition
چکیده انگلیسی

In this paper a recursive state-space model identification method is proposed for non-uniformly sampled systems in industrial applications. Two cases for measuring all states and only output(s) of such a system are considered for identification. In the case of state measurement, an identification algorithm based on the singular value decomposition (SVD) is developed to estimate the model parameter matrices by using the least-squares fitting. In the case of output measurement only, another identification algorithm is given by combining the SVD approach with a hierarchical identification strategy. An example is used to demonstrate the effectiveness of the proposed identification method.

Graphical AbstractDiagram of a non-uniformly sampling system (a) with non-uniformly sampling rates (b).Figure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Chemical Engineering - Volume 22, Issues 11–12, November 2014, Pages 1268–1273
نویسندگان
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