On the Practical Design of Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control
Sankaranarayanan Subramanian, Yehia Abdelsalam, Sergio Lucia and, Sebastian Engell

TL;DR
This paper discusses the practical design and implementation of a robust tube-enhanced multi-stage nonlinear model predictive control scheme, emphasizing systematic decision-making and application flexibility.
Contribution
It provides a systematic approach for designing and implementing a novel robust control scheme with practical industrial applications.
Findings
Demonstrates the flexibility of the control scheme in various applications
Provides a systematic design methodology
Illustrates implementation steps with an industrial example
Abstract
Tube-enhanced multi-stage nonlinear model predictive control is a robust control scheme that can handle a wide range of uncertainties with reduced conservatism and manageable computational complexity. In this paper, we elaborate on the flexibility of the approach from an application point of view. We discuss the path to making design decisions to implement the novel scheme systematically. We illustrate the critical steps in the design and implementation of the scheme for an industrial example.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Control Systems Optimization · Fault Detection and Control Systems · Iterative Learning Control Systems
