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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)
            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://doab-dev.siscern.org/handle/20.500.12854/191593
            Keywords
            Computers; Mathematical & Statistical Software; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software
            DOI
            https://doi.org/10.5772/intechopen.86001
            ISBN
            9781839626388
            Publisher
            InTechOpen
            Publication date and place
            2019
            Grantor
            • Knowledge Unlatched
            Imprint
            IntechOpen
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            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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