Actas de congresos
Linear Parameter-varying Models For Predictive Control Design: Application To Nonlinear Chemical Reactors Thiago Vaz Da Costa
Registro en:
9780889868632
Proceedings Of The Iasted International Conference On Modelling, Identification And Control. , v. , n. , p. 212 - 219, 2011.
10258973
10.2316/P.2011.718-043
2-s2.0-79958123246
Autor
Tizzo L.M.
Da Silva F.V.
Fileti A.M.F.
Institución
Resumen
This paper presents the application of an identification algorithm based on local model networks able to split the full model dynamics in linear parameter-varying (LPV) models for different regions on the process operating range. It is shown that a model based controller equipped with an efficient LPV model performs better than when a single linear time-invariant (LTI) model is used. Results demonstrated that model adaptation over several regions provides better system representation leading to more efficient and consistent control in already implemented control loops.
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