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Introduction to Model Predictive Control

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

Abstract

Model Predictive Control (MPC) originated in the late seventies and has developed considerably since then. The term Model Predictive Control does not designate a specific control strategy but rather an ample range of control methods which make explicit use of a model of the process to obtain the control signal by minimizing an objective function. These design methods lead to controllers which have practically the same structure and present adequate degrees of freedom. The ideas, appearing in greater or lesser degree in the predictive control family, are basically:
  • explicit use of a model to predict the process output at future time instants (horizon);

  • calculation of a control sequence minimizing an objective function; and

  • receding strategy, so that at each instant the horizon is displaced towards the future, which involves the application of the first control signal of the sequence calculated at each step.

Keywords

Model Predictive Control Reference Trajectory Generalize Predictive Control Model Predictive Control Algorithm Model Predictive Control Strategy 
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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