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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Asian Network for Scientific Information
2008
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my.upm.eprints.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 |
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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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Article |
author |
Ansarpanahi, Shadi Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce |
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Ansarpanahi, Shadi Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Stability study of model predictive control in presence of undesirable factors. |
author_facet |
Ansarpanahi, Shadi Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce |
author_sort |
Ansarpanahi, Shadi |
title |
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_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_sort |
stability study of model predictive control in presence of undesirable factors. |
publisher |
Asian Network for Scientific Information |
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2008 |
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http://psasir.upm.edu.my/id/eprint/16826/1/Stability%20study%20of%20model%20predictive%20control%20in%20presence%20of%20undesirable%20factors.pdf http://psasir.upm.edu.my/id/eprint/16826/ |
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