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Robust Model Predictive Control

  • E. F. Camacho
  • C. Bordons
Part of the Advanced Textbooks in Control and Signal Processing book series (C&SP)

Abstract

Mathematical models of real processes cannot contemplate every aspect of reality. Simplifying assumptions have to be made, especially when the models are going to be used for control purposes, where models with simple structures (linear in most cases) and sufficiently small size have to be used due to available control techniques and real-time considerations. Thus, mathematical models, especially control models, can only describe the dynamics of the process in an approximative way.

Keywords

Linear Matrix Inequality Model Predictive Control Linear Feedback Polynomial Matrix Prediction Horizon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2007

Authors and Affiliations

  • E. F. Camacho
    • 1
  • C. Bordons
    • 1
  1. 1.Escuela Superior de IngenierosUniversidad de SevillaSevillaSpain

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