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  1. Data-driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking

    Article • IET Control Theory and Applications, May 2017, the Institution of Engineering and Technology (the IET)

    Prof. Ping Zhou

  2. Data-driven ALS-SVR-ARMA2K modelling with AMPSO parameter optimisation for a high consistency refining system in papermaking

    Article • IET Control Theory and Applications, September 2016, the Institution of Engineering and Technology (the IET)

    Prof. Ping Zhou