This chapter introduces the basic concepts of Model Predictive Control (MPC) theory necessary to design the controller in later chapters. With a focus on MPC for linear systems, the design of controllers with different objective functions is covered, and some key methods such as reference tracking are presented while elaborating on implementation details. Experiments with a toy problem are included, showing the effect of tuning the different controller parameters, and adding different control and state constraints, both linear and nonlinear.


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    Title :

    Model Predictive Control


    Additional title:

    SpringerBriefs in Applied Sciences


    Contributors:


    Publication date :

    2021-06-25


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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