An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework

المؤلفون المشاركون

Xin, Jin
Qinghua, Chi
Kangling, Liu
Jun, Liang

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-10-22

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

هندسة مدنية

الملخص EN

To tackle the sensitivity to outliers in system identification, a new robust dynamic partial least squares (PLS) model based on an outliers detection method is proposed in this paper.

An improved radial basis function network (RBFN) is adopted to construct the predictive model from inputs and outputs dataset, and a hidden Markov model (HMM) is applied to detect the outliers.

After outliers are removed away, a more robust dynamic PLS model is obtained.

In addition, an improved generalized predictive control (GPC) with the tuning weights under dynamic PLS framework is proposed to deal with the interaction which is caused by the model mismatch.

The results of two simulations demonstrate the effectiveness of proposed method.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Xin, Jin& Qinghua, Chi& Kangling, Liu& Jun, Liang. 2015. An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1075072

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Xin, Jin…[et al.]. An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1075072

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Xin, Jin& Qinghua, Chi& Kangling, Liu& Jun, Liang. An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1075072

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1075072