IEEE - Institute of Electrical and Electronics Engineers, Inc. - Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Author(s): Ping Zhou ; Heda Song ; Hong Wang ; Tianyou Chai
Sponsor(s): IEEE Control Systems Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1 - 14
ISSN (Paper): 1063-6536
ISSN (Online): 1558-0865
DOI: 10.1109/TCST.2016.2631124
Regular:

Blast furnace (BF) in ironmaking is a nonlinear dynamic process with complicated physical-chemical reactions, where multiphases and multifields interactions with long time delay phenomena take... View More

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