This chapter introduces the most popular modern control paradigm, namely model predictive control. The introduction includes a historical perspective on predictive control and discusses the implicitImplicit predictive control and explicit form of the algorithms. The unconstrained solution to the linear system problem is first presented, which is similar to that for most predictive control approaches. The more interesting solution is presented in the second part of the chapter where a nonlinear operator term is included in the plant model. This is the last of the control chapters where polynomial system models are used to represent the linear subsystem. StabilityStability issues are explored after the algorithms have been defined and the use of both hard and soft constraintsSoft constraints are also considered. The importance of constraintsConstraints in applications is illustrated in the ship roll stabilization multivariable controlMultivariable control example presented.


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    Title :

    Linear and Nonlinear Predictive Optimal Control


    Contributors:

    Published in:

    Publication date :

    2020-05-20


    Size :

    54 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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