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Fast Methods for Implementing Model Predictive Control

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

Abstract

One of the disadvantages of MPC is that the computation time required in some cases considerably limits the bandwidth of processes to which it can be applied. This is the case of MPC in the presence of constraints, adaptive MPC, robust MPC and MPC of nonlinear processes. This chapter is devoted to explaining some of the procedures used to reduce the amount of computation needed for the implementation of MPC. All of these procedures are based on doing most of the required computation off-line, leaving only part of the computation for the online part of the implementation.

Keywords

Model Predictive Control Active Constraint Prediction Horizon Manipulate Variable Augmented State 
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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