Among all advanced control methods, model-based predictive controls (MPCs), or model predictive controls for short, are the most commonly used in industry [62, 109, 178, 276, 352, 354]. In the processing industry, especially in refineries, chemical plants, cement mills, and paper and steel production, MPCs are well-established standard procedures. MPCs are nonlinear control methods which are generally suitable to linear plants with limited control and state variables, and to nonlinear plants as well. The reasons for their widespread and successful use are the good explainability of their basic principle and their applicability to complex high-order dynamical systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Nonlinear Control of Linear and Nonlinear Systems


    Contributors:

    Published in:

    Nonlinear Systems and Controls ; Chapter : 6 ; 503-599


    Publication date :

    2022-12-02


    Size :

    97 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Nonlinear Control of Linear and Nonlinear Systems

    Adamy, Jürgen | Springer Verlag | 2024


    Nonlinear Control of Linear Systems

    Adamy, Jürgen | Springer Verlag | 2024


    Nonlinear Control of Linear Systems

    Adamy, Jürgen | Springer Verlag | 2022



    Nonlinear Control of Nonlinear Systems

    Adamy, Jürgen | Springer Verlag | 2022