The aim of this lecture is to provide an industrial perspective on Model Predictive Control with emphasis on:

  • Important practical requirements
  • Practice-proven solutions and approaches
  • Understanding the required efforts in terms of time and money
  • Differentiation between state of the art, state of science and vision (= inspirations for further developments)

Lecture outline:

  • Motivation
  • Model Predictive Control for Continuous Plants
  • Nonlinear Model Predictive Control for Batch Plants
  • Real Time Optimization
  • Summary and Outlook