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- W2158049325 abstract "This paper applies a quasi-ARMAX modeling technique, presented in the literature, to a process control framework. The use of this quasi-ARMAX modeling technique in nonlinear model predictive control (NMPC) formulations applied to simple nonlinear process control examples is investigated. The quasi-ARMAX predictor can be interpreted as a neuro-fuzzy predictor, and this neuro-fuzzy predictor is computationally straightforward and has shown excellent prediction capabilities. The predictor is thus well suited for NMPC purposes. Furthermore, the parameters of the neuro-fuzzy model can be argued to have explicit meaning, thus making the procedure of tuning the NMPC system more transparent when using the neuro-fuzzy predictor." @default.
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- W2158049325 date "2002-11-07" @default.
- W2158049325 modified "2023-09-25" @default.
- W2158049325 title "Nonlinear model predictive control utilizing a neuro-fuzzy predictor" @default.
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- W2158049325 doi "https://doi.org/10.1109/icsmc.2000.886544" @default.
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