A Novel MIMO T-S Fuzzy Modeling for Prediction of Blast Furnace Molten Iron Quality With Missing Outputs
For complex and difficult-to-control blast furnace systems with hour-level delay, accurate prediction of molten iron quality plays a very important role in guaranteeing the stable and smooth operation. Recently, some data-driven multi-input multi-output (MIMO) modeling methods have been proposed to...
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Veröffentlicht in: | IEEE transactions on fuzzy systems 2021-06, Vol.29 (6), p.1654-1666 |
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