DocumentCode :
2898823
Title :
Robust multi-parametric model predictive control for discrete-time LPV systems
Author :
Chang, H. ; Pistikopoulos, Efstratios N. ; Astolfi, A.
Author_Institution :
Dept. of Chem. Eng., Imperial Coll. London, London, UK
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
431
Lastpage :
436
Abstract :
In this paper we study mpMPC problem for discrete-time, linear parameter varying systems exploiting the solution of the mpMPC for linear time invariant (LTI) systems. The proposed control method yields a controller which is adapted to take parameter changes into account. Thus it could improve the performance of mpMPC in terms of robustness to the presence of slowly varying parameters. It is expected that the method can be applied to process systems which suffer from slow variation of system parameters, such as aging and degradation. The proposed control method can be implemented conveniently as an add-on to the current mpMPC without any modification of the established mpMPC algorithm for LTI systems. Also the method consists of simple computational steps thus can be run on-line.
Keywords :
adaptive control; discrete time systems; linear systems; predictive control; robust control; LTI system; aging; controller adaptation; degradation; discrete-time LPV systems; discrete-time linear parameter varying system; linear time invariant system; mpMPC algorithm; mpMPC problem; parameter changes; robust multiparametric model predictive control; robustness; slowly varying parameters; system parameter variation; Educational institutions; Equations; Mathematical model; Optimization; Robustness; Time-varying systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6579875
Filename :
6579875
Link To Document :
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