کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
690077 | 889681 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust identification of process models from plant data
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Robust identification of process models from plant data Robust identification of process models from plant data](/preview/png/690077.png)
چکیده انگلیسی
A precursor to any advanced control solution is the step of obtaining an accurate model of the process. Suitable models can be obtained from phenomenological reasoning, analysis of plant data or a combination of both. Here, we will focus on the problem of estimating (or calibrating) models from plant data. A key goal is to achieve robust identification. By robust we mean that small errors in the hypotheses should lead to small errors in the estimated models. We argue that, in some circumstances, it is essential that special precautions, including discarding some part of the data, be taken to ensure that robustness is preserved. We present several practical case studies to illustrate the results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 18, Issue 9, October 2008, Pages 810–820
Journal: Journal of Process Control - Volume 18, Issue 9, October 2008, Pages 810–820
نویسندگان
Graham C. Goodwin, Juan C. Agüero, James S. Welsh, Juan I. Yuz, Greg J. Adams, Cristian R. Rojas,