In general, industrial processes are nonlinear, but, as has been shown in this book, most MPC applications use linear models because typically the objective is to keep the plant around the stationary state rather than perform frequent changes from one operation point to another and, therefore, a precise linear model is enough.

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Nonlinear and Hybrid Model Predictive Control

  • Eduardo F. Camacho,
  • Carlos Bordons,
  • José M. Maestre

摘要

In general, industrial processes are nonlinear, but, as has been shown in this book, most MPC applications use linear models because typically the objective is to keep the plant around the stationary state rather than perform frequent changes from one operation point to another and, therefore, a precise linear model is enough.