Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method

Two automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints. A sequence of nested geometric proportion asymptotically stable ellipsoids and controllers is constructed offline first. Then the feedback controllers are a...

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Main Author: Longge Zhang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/380105
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author Longge Zhang
author_facet Longge Zhang
author_sort Longge Zhang
collection DOAJ
description Two automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints. A sequence of nested geometric proportion asymptotically stable ellipsoids and controllers is constructed offline first. Then the feedback controllers are automatically selected with the receding horizon online in the first strategy. Finally, a modified automatic offline robust MPC approach is constructed to improve the closed system's performance. The new proposed strategies not only reduce the conservatism but also decrease the online computation. Numerical examples are given to illustrate their effectiveness.
format Article
id doaj-art-7f3f4ca0605d4638858e990e8a05e6dd
institution Kabale University
issn 1085-3375
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language English
publishDate 2013-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-7f3f4ca0605d4638858e990e8a05e6dd2025-08-20T03:35:40ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/380105380105Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities MethodLongge Zhang0Department of Mathematics and Physics, North China Electric Power University, Baoding 071003, ChinaTwo automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints. A sequence of nested geometric proportion asymptotically stable ellipsoids and controllers is constructed offline first. Then the feedback controllers are automatically selected with the receding horizon online in the first strategy. Finally, a modified automatic offline robust MPC approach is constructed to improve the closed system's performance. The new proposed strategies not only reduce the conservatism but also decrease the online computation. Numerical examples are given to illustrate their effectiveness.http://dx.doi.org/10.1155/2013/380105
spellingShingle Longge Zhang
Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
Abstract and Applied Analysis
title Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
title_full Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
title_fullStr Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
title_full_unstemmed Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
title_short Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method
title_sort automatic offline formulation of robust model predictive control based on linear matrix inequalities method
url http://dx.doi.org/10.1155/2013/380105
work_keys_str_mv AT longgezhang automaticofflineformulationofrobustmodelpredictivecontrolbasedonlinearmatrixinequalitiesmethod