An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities

An offline model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is presented. The main contribution is to develop an offline MPC algorithm for LPV systems that can deal with both time-varying scheduling parameter and persistent disturbance. The norm-bounding technique...

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Main Author: P. Bumroongsri
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/786351
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author P. Bumroongsri
author_facet P. Bumroongsri
author_sort P. Bumroongsri
collection DOAJ
description An offline model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is presented. The main contribution is to develop an offline MPC algorithm for LPV systems that can deal with both time-varying scheduling parameter and persistent disturbance. The norm-bounding technique is used to derive an offline MPC algorithm based on the parameter-dependent state feedback control law and the parameter-dependent Lyapunov functions. The online computational time is reduced by solving offline the linear matrix inequality (LMI) optimization problems to find the sequences of explicit state feedback control laws. At each sampling instant, a parameter-dependent state feedback control law is computed by linear interpolation between the precomputed state feedback control laws. The algorithm is illustrated with two examples. The results show that robust stability can be ensured in the presence of both time-varying scheduling parameter and persistent disturbance.
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institution Kabale University
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publishDate 2014-01-01
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series Journal of Applied Mathematics
spelling doaj-art-97669877a06a432fb198f6c5944ac8e52025-02-03T06:10:49ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/786351786351An Offline Formulation of MPC for LPV Systems Using Linear Matrix InequalitiesP. Bumroongsri0Department of Chemical Engineering, Faculty of Engineering, Mahidol University, Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, ThailandAn offline model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is presented. The main contribution is to develop an offline MPC algorithm for LPV systems that can deal with both time-varying scheduling parameter and persistent disturbance. The norm-bounding technique is used to derive an offline MPC algorithm based on the parameter-dependent state feedback control law and the parameter-dependent Lyapunov functions. The online computational time is reduced by solving offline the linear matrix inequality (LMI) optimization problems to find the sequences of explicit state feedback control laws. At each sampling instant, a parameter-dependent state feedback control law is computed by linear interpolation between the precomputed state feedback control laws. The algorithm is illustrated with two examples. The results show that robust stability can be ensured in the presence of both time-varying scheduling parameter and persistent disturbance.http://dx.doi.org/10.1155/2014/786351
spellingShingle P. Bumroongsri
An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
Journal of Applied Mathematics
title An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
title_full An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
title_fullStr An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
title_full_unstemmed An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
title_short An Offline Formulation of MPC for LPV Systems Using Linear Matrix Inequalities
title_sort offline formulation of mpc for lpv systems using linear matrix inequalities
url http://dx.doi.org/10.1155/2014/786351
work_keys_str_mv AT pbumroongsri anofflineformulationofmpcforlpvsystemsusinglinearmatrixinequalities
AT pbumroongsri offlineformulationofmpcforlpvsystemsusinglinearmatrixinequalities