Inverse-model predictive control based on INFUMO-BB-BC optimization

Simon Oblak, Tufan Kumbasar, Igor Škrjanc, Engin Yeşil

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7 Atıf (Scopus)

Özet

This paper presents a method of advanced predictive control combining a contemporary optimization procedure Big Bang - Big Crunch (BB-BC) and the use of an interval fuzzy model (INFUMO). The method is founded on the inverse-fuzzy-model-based controller where adaptation of the model to the process is done in each calculation step. The INFUMO was used to identify a band of possible process parameter values and hence to limit the optimization search space, which resulted in a considerable reduction of computational load. The benefits of the method were illustrated on a simulation model with high-grade uncertainties and rapid changes of parameters.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Proceedings
YayınlayanIFAC Secretariat
Sayfalar294-299
Sayfa sayısı6
BaskıPART 1
ISBN (Basılı)9783902661852
DOI'lar
Yayın durumuYayınlandı - 2010
Etkinlik10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Antalya, Turkey
Süre: 26 Ağu 201028 Ağu 2010

Yayın serisi

AdıIFAC Proceedings Volumes (IFAC-PapersOnline)
SayıPART 1
Hacim1
ISSN (Basılı)1474-6670

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???event.eventtypes.event.conference???10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010
Ülke/BölgeTurkey
ŞehirAntalya
Periyot26/08/1028/08/10

Finansman

⋆ The authors would like to thank to Ministry of School, Science and Sports of Republic of Slovenia and Scientific and Technological Research Council of Turkey (TUBITAK) for support

FinansörlerFinansör numarası
Ministry of School, Science and Sports of Republic of Slovenia and Scientific and Technological Research Council of Turkey
TUBITAK

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