End-point parametrization and guaranteed stability for a model predictive control scheme

Siep Weiland, Antonie Arij Stoorvogel, Andrei A. Tiagounov

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    4 Citations (Scopus)
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    In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the implementation of an MPC controller of a binary distillation process
    Original languageUndefined
    Number of pages6
    Publication statusPublished - Dec 2001
    Event40th IEEE Conference on Decision and Control, CDC 2001 - Hyatt Regency Grand Cypress, Orlando, United States
    Duration: 4 Dec 20017 Dec 2001


    Conference40th IEEE Conference on Decision and Control, CDC 2001
    Abbreviated titleCDC
    Country/TerritoryUnited States


    • IR-69041
    • EWI-16645

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