Stability study of model predictive control in presence of undesirable factors.

In this study, the stability behavior of Generalized Predictive Controllers (GPC) as one of model predictive control algorithm is studied and effects of noise, error in delay estimation, input disturbances, unstable system and non-minimum phase system is analyzed. The results showed that GP-controll...

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Main Authors: Ansarpanahi, Shadi, Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce
Format: Article
Language:English
English
Published: Asian Network for Scientific Information 2008
Online Access:http://psasir.upm.edu.my/id/eprint/16826/
http://psasir.upm.edu.my/id/eprint/16826/1/Stability%20study%20of%20model%20predictive%20control%20in%20presence%20of%20undesirable%20factors.pdf
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author Ansarpanahi, Shadi
Mohd Noor, Samsul Bahari
Marhaban, Mohammad Hamiruce
author_facet Ansarpanahi, Shadi
Mohd Noor, Samsul Bahari
Marhaban, Mohammad Hamiruce
author_sort Ansarpanahi, Shadi
building UPM Institutional Repository
collection Online Access
description In this study, the stability behavior of Generalized Predictive Controllers (GPC) as one of model predictive control algorithm is studied and effects of noise, error in delay estimation, input disturbances, unstable system and non-minimum phase system is analyzed. The results showed that GP-controller can be achieved stability and resist against wrong parameterization. This stability studies is completed by means of a numerical example. The results show that the GP algorithm can guarantee the stability of this system.
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institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T08:09:11Z
publishDate 2008
publisher Asian Network for Scientific Information
recordtype eprints
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spelling upm-168262015-12-04T08:29:43Z http://psasir.upm.edu.my/id/eprint/16826/ Stability study of model predictive control in presence of undesirable factors. Ansarpanahi, Shadi Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce In this study, the stability behavior of Generalized Predictive Controllers (GPC) as one of model predictive control algorithm is studied and effects of noise, error in delay estimation, input disturbances, unstable system and non-minimum phase system is analyzed. The results showed that GP-controller can be achieved stability and resist against wrong parameterization. This stability studies is completed by means of a numerical example. The results show that the GP algorithm can guarantee the stability of this system. Asian Network for Scientific Information 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16826/1/Stability%20study%20of%20model%20predictive%20control%20in%20presence%20of%20undesirable%20factors.pdf Ansarpanahi, Shadi and Mohd Noor, Samsul Bahari and Marhaban, Mohammad Hamiruce (2008) Stability study of model predictive control in presence of undesirable factors. Journal of Applied Sciences, 8 (20). pp. 3683-3689. ISSN 1812-5654; ESSN: 1812-5662 10.3923/jas.2008.3683.3689 English
spellingShingle Ansarpanahi, Shadi
Mohd Noor, Samsul Bahari
Marhaban, Mohammad Hamiruce
Stability study of model predictive control in presence of undesirable factors.
title Stability study of model predictive control in presence of undesirable factors.
title_full Stability study of model predictive control in presence of undesirable factors.
title_fullStr Stability study of model predictive control in presence of undesirable factors.
title_full_unstemmed Stability study of model predictive control in presence of undesirable factors.
title_short Stability study of model predictive control in presence of undesirable factors.
title_sort stability study of model predictive control in presence of undesirable factors.
url http://psasir.upm.edu.my/id/eprint/16826/
http://psasir.upm.edu.my/id/eprint/16826/
http://psasir.upm.edu.my/id/eprint/16826/1/Stability%20study%20of%20model%20predictive%20control%20in%20presence%20of%20undesirable%20factors.pdf