کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5499602 1533622 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detecting outliers in complex nonlinear systems controlled by predictive control strategy
ترجمه فارسی عنوان
تشخیص فراوانی در سیستم های غیر خطی پیچیده تحت کنترل استراتژی کنترل پیش بینی شده است
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک آماری و غیرخطی
چکیده انگلیسی
Detecting outliers in complicated nonlinear systems that are controlled by model predictive control is a significant work for engineering applications. Based on the features of data in practical systems, we propose a one-class classification ensemble method incorporating the notion of Feature Subspace with Bagging. Clustering and PCA (Principal Component Analysis) are integrated to obtain a more informative feature space, where Feature subspaces and bootstrap replications are implemented orderly to generate more accuracy and diverse base learners. A detector is constructed based on the above methodology, and a model updating strategy is also provided. By means of comparison with competitive methods, the effectiveness of the proposed detector has been verified.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chaos, Solitons & Fractals - Volume 103, October 2017, Pages 588-595
نویسندگان
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