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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BPZ1-0054-0012

Czasopismo

International Journal of Applied Mathematics and Computer Science

Tytuł artykułu

Effective dual-mode fuzzy DMC algorithms with on-line quadratic optimization and guaranteed stability

Autorzy Marusak, P. M.  Tatjewski, P. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Dual-mode fuzzy dynamic matrix control (fuzzy DMC-FDMC) algorithms with guaranteed nominal stability for constrained nonlinear plants are presented. The algorithms join the advantages of fuzzy Takagi-Sugeno modeling and the predictive dual-mode approach in a computationally efficient version. Thus, they can bring an improvement in control quality compared with predictive controllers based on linear models and, at the same time, control performance similar to that obtained using more demanding algorithms with nonlinear optimization. Numerical effectiveness is obtained by using a successive linearization approach resulting in a quadratic programming problem solved on-line at each sampling instant. It is a computationally robust and fast optimization problem, which is important for on-line applications. Stability is achieved by appropriate introduction of dual-mode type stabilization mechanisms, which are simple and easy to implement. The effectiveness of the proposed approach is tested on a control system of a nonlinear plant-a distillation column with basic feedback controllers.
Słowa kluczowe
PL system nieliniowy   system rozmyty   sterowanie predykcyjne   stabilność   sterowność wymuszona  
EN nonlinear system   fuzzy system   model predictive control   stability   constrained control   dual-mode control  
Wydawca Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
Czasopismo International Journal of Applied Mathematics and Computer Science
Rocznik 2009
Tom Vol. 19, no 1
Strony 127--141
Opis fizyczny Bibliogr. 30 poz., rys., wykr.
Twórcy
autor Marusak, P. M.
autor Tatjewski, P.
  • Institute of Control and Computation Engineering Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland, Marusak@ia.pw.edu.pl
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