Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
710351 | IFAC-PapersOnLine | 2016 | 6 Pages |
Abstract
This paper discusses the significance of the noise model for the performance of a Model Predictive Controller when operating in closed-loop. The process model is parametrized as a continuous-time (CT) model and the relevant sampled-data filtering and control algorithms are developed. Using CT models typically means less parameters to identify. Systematic tuning of such controllers is discussed. Simulation studies are conducted for linear time-invariant systems showing that choosing a noise model of low order is beneficial for closed-loop performance.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Morten Hagdrup, Dimitri Boiroux, Zeinab Mahmoudi, Henrik Madsen, Niels Kjølstad Poulsen, Bjarne Poulsen, John Bagterp Jørgensen,