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

فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

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:

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