The common attribute in horizon-predictive control is the use of a dynamic model of the process and optimization to plan a sequence of future control actions to best make the model match a desired future path, while avoiding constraints. This paper describes a structure to use first-principles process models in horizon-predictive control, which contrasts the conventional use of linear empirical models derived from step-testing the process.


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    Title :

    Nonlinear Model-Predictive Control Using First-Principles Models


    Additional title:

    Lect. Notes Electrical Eng.




    Publication date :

    2023-03-12


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English