More efficient predictive control

An approach for constrained predictive control of linear systems (or uncertain systems described by polytopic uncertainty models) is presented. The approach consists of (in general non-convex, but often convex) offline optimization, and very efficient online optimization. Two examples, one being a laboratory experiment, compare the approach to existing approaches, revealing both advantages and disadvantages. 2005 Elsevier Ltd. All rights reserved.

• Type: Journal
• Year: 2005
• Where: AUTOMATICA
• Authors: Lars Imsland, Nadav S. Bar, Bjarne A. Foss
• Keywords: AUTOMATICA 2005, Polytopic Uncertainty Models, Predictive Control, Uncertain Systems