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
Short Bio
Dr Birk obtained his PhD on Computer-aided analysis and design of nonlinear observers in 1992 from the University of Stuttgart. He joined BASF afterwards, and has had several roles in the company ranging through Engineer in Advanced process Control to Senior Manager of Automation Technology to his current position as Vice President, Executive Expert of Automation Technology. Dr Birk has lectured on several Master courses at the University of Stuttgart, on Process Control and Production IT, and recently on Operational technology.