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Model Predictive Controller

Learning targets
Model Predictive Controller Basic concepts The history of Model Predictive Control, MPC, dates to the 1960s and attempts to solve the problems in optimal state controllers for industrial applications 1. In industrial applications, especially the possibilities to include constraints in the controller are necessary. Tools to handle long dead times and nonlinearities are essential in
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Authors and references
This page has been updated 25.11.2020
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