Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7107924 | Annual Reviews in Control | 2016 | 9 Pages |
Abstract
Motivated by requirements in the process industries, the largest user of model predictive control, we re-examine some features of recent research on this topic. We suggest that some proposals are too complex and computationally demanding for application in this area and make some tentative proposals for research on robust and stochastic model predictive control to aid applicability
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
David Mayne,