Nonlinear Dynamic System Identification into Wiener Model using Subspace Identification and Support Vector Machine
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 444
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شناسه ملی سند علمی:
NPECE01_244
تاریخ نمایه سازی: 6 بهمن 1395
چکیده مقاله:
In this article, a new block- oriented nonlinear identification method is proposed. This modeling method uses the Wiener model comprised of a linear dynamic block that is followed by a nonlinear static block. The linear block is described by the subspace identification algorithm whereas the nonlinear one is represented via the Least Squares- Support Vector Machine. The proposed method is tested with a practical nonlinear chemical plant named as CSTR. A dataset of the input-output signals gathered from the system is applied to show the superiority of the method.
کلیدواژه ها:
Block-oriented identification ، Wiener model ، Subspace identification ، Least Squares-Support Vector Machine ، CSTR system
نویسندگان
Rasool Sadeghi
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
M Hashemi
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran