A nonlinear optimal control approach for the pulping process of paper mills

Author:

Rigatos G.1,Abbaszadeh M.2,Cuccurullo G.3,Siano P.4ORCID

Affiliation:

1. Unit of Industrial Automation Industrial Systems Institute Rion Patras Greece

2. GE Global Research General Electric Niskayuna New York USA

3. Department of Industrial Engineering University of Salerno Fisciano Italy

4. Department of Innovative Systems University of Salerno Fisciano Italy

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Reference37 articles.

1. An economic model predictive control framework for mechanical pulping processes

2. Installing, operating and maintaining DC motors in a paper‐mill environment;Henon C.;IEEE Ind. Appl. Mag,2019

3. Improvements on Model Predictive Control for a Pulp Mill Process

4. Control and optimization strategies for thermo-mechanical pulping processes: Nonlinear model predictive control

5. Nonlinear multi‐objective MPC‐based optimal operation of a high consistency refining system in papermaking;Li M.;IEEE Trans. Syst. Man Cybernetics Syst.,2019

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