کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5003873 1461185 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New methods of Laguerre pole optimization for the ARX model expansion on Laguerre bases
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
New methods of Laguerre pole optimization for the ARX model expansion on Laguerre bases
چکیده انگلیسی
The ARX-Laguerre model is a very important reduced complexity representation of linear system. However a significant reduction of this model is subject to an optimal choice of both Laguerre poles. Therefore we propose in this paper two new methods to estimate, from input/output measurements, the optimal values of Laguerre poles of the ARX-Laguerre model. The first method is based on the Newton-Raphson's iterative technique where we prove that the gradient and the Hessian can be expressed analytically. The second method is based on Genetic Algorithms. Both proposed algorithms are tested on a numerical example and on a heating benchmark.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISA Transactions - Volume 70, September 2017, Pages 93-103
نویسندگان
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