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    Model Predictive Control mit MATLAB und Simulink

    Model Predictive Control with MATLAB and Simulink

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    Author(s)
    Dittmar, Rainer
    Collection
    Knowledge Unlatched (KU)
    Number
    104993
    Language
    German
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    Abstract
    Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control problems. MPC systems are successfully applied in many different branches of industry. The MPC ToolboxTM of MATLAB®/Simulink® provides powerful tools for industrial MPC application, but also for education and research at technical universities. This book gives an overview of the basic ideas and advantages of the MPC concept. It shows how MPC systems can be designed, tuned, and simulated using the MPC Toolbox. Selected process engineering benchmark examples are used to demonstrate typical design approaches and help deepen the understanding of MPC technologies. The book is aimed at engineers in industry interested in the development and application of MPC systems, as well as students of different technical disciplines seeking an introduction into this field.
    URI
    https://library.oapen.org/handle/20.500.12657/44003
    Keywords
    Computers; Mathematical & Statistical Software
    DOI
    https://doi.org/10.5772/intechopen.86001
    ISBN
    9781839626388
    Publisher
    InTechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2019
    Grantor
    • Knowledge Unlatched
    Imprint
    IntechOpen
    Classification
    Mathematical and statistical software
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/legalcode
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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