Robust Model Predictive Control Schemes for Tracking Setpoints
This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapuno...
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2010-01-01
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2010/649461 |
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doaj-ae73829ce5754b43972ba6f8be16cf742020-11-24T22:09:24ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572010-01-01201010.1155/2010/649461649461Robust Model Predictive Control Schemes for Tracking SetpointsVu Trieu Minh0Fakhruldin Bin Mohd Hashim1Mechanical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, MalaysiaMechanical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, MalaysiaThis paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by changing the value of the weighting factor. A brief comparative simulation study of the two tracking setpoint RMPC schemes is done via simple examples to demonstrate the ability of the softened state constraint schemes. Finally, some features of future research from this study are discussed.http://dx.doi.org/10.1155/2010/649461 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vu Trieu Minh Fakhruldin Bin Mohd Hashim |
spellingShingle |
Vu Trieu Minh Fakhruldin Bin Mohd Hashim Robust Model Predictive Control Schemes for Tracking Setpoints Journal of Control Science and Engineering |
author_facet |
Vu Trieu Minh Fakhruldin Bin Mohd Hashim |
author_sort |
Vu Trieu Minh |
title |
Robust Model Predictive Control Schemes for Tracking Setpoints |
title_short |
Robust Model Predictive Control Schemes for Tracking Setpoints |
title_full |
Robust Model Predictive Control Schemes for Tracking Setpoints |
title_fullStr |
Robust Model Predictive Control Schemes for Tracking Setpoints |
title_full_unstemmed |
Robust Model Predictive Control Schemes for Tracking Setpoints |
title_sort |
robust model predictive control schemes for tracking setpoints |
publisher |
Hindawi Limited |
series |
Journal of Control Science and Engineering |
issn |
1687-5249 1687-5257 |
publishDate |
2010-01-01 |
description |
This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by changing the value of the weighting factor. A brief comparative simulation study of the two tracking setpoint RMPC schemes is done via simple examples to demonstrate the ability of the softened state constraint schemes. Finally, some features of future research from this study are discussed. |
url |
http://dx.doi.org/10.1155/2010/649461 |
work_keys_str_mv |
AT vutrieuminh robustmodelpredictivecontrolschemesfortrackingsetpoints AT fakhruldinbinmohdhashim robustmodelpredictivecontrolschemesfortrackingsetpoints |
_version_ |
1725812039809499136 |