In this chapter, a more general modelling paradigm is introduced. That is, the linear plant subsystem used previously is replaced by a linear parameter varying or a state-dependent state-space model. Taken together with a black-box operator subsystem very general nonlinear systems may be considered. The nonlinear generalizedGeneralized minimum variance minimum variance controller provides an obvious starting point because of its simplicity, which is valuable when the problem becomes more complex. The most important message from this chapter is that the basic solution procedure is conceptually as simple as for the linear state-space system case, even if there are subtle differences in stabilityStability analysis and implementation. The automotive engineAutomotive enginecontrolEngine control example at the end of the chapter illustrates the value of the control approach and also considers the plant modelling and system identificationSystem identification problem.


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    Title :

    LPV and State-Dependent Nonlinear Optimal Control


    Contributors:

    Published in:

    Publication date :

    2020-05-20


    Size :

    44 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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