Abstract The preceding chapters have addressed the synthesis of controllers from Volterra series models. In Chapter 6, the concept of a partitioned inverse was introduced in the IMC framework to allow the explicit use of a Volterra series model in the controller design. Extensions were sketched for problematic dy¬namics, such as nonminimum phase behavior, although the derivations were carried out for the single-input-single-output (SISO) problem. In Chapter 7, a procedure was introduced to compensate for constraints, using classical techniques from constrained linear control theory. In the most general case, where multivariable interactions, problematic dynamics, and constraints are present, an MPC approach is the natural choice. As indicated in Chapter 6, there are natural extensions of the IMC algorithm to the MPC framework.


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    Title :

    Model Predictive Control Using Volterra Series


    Contributors:


    Publication date :

    2002-01-01


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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