---
res:
bibo_abstract:
- In a wide range of applications, it is desirable to optimally control a system
with respect to concurrent, potentially competing goals. This gives rise to a
multiobjective optimal control problem where, instead of computing a single optimal
solution, the set of optimal compromises, the so-called Pareto set, has to be
approximated. When it is not possible to compute the entire control trajectory
in advance, for instance due to uncertainties or unforeseeable events, model predictive
control methods can be applied to control the system during operation in real
time. In this article, we present an algorithm for the solution of multiobjective
model predictive control problems. In an offline scenario, it can be used to compute
the entire set of optimal compromises whereas in a real time scenario, one optimal
compromise is computed according to an operator's preference. The results are
illustrated using the example of an industrial laundry. A logistics model of the
laundry is developed and then utilized in the optimization routine. Results are
presented for an offline as well as an online scenario.@eng
bibo_authorlist:
- foaf_Person:
foaf_givenName: Sebastian
foaf_name: Peitz, Sebastian
foaf_surname: Peitz
foaf_workInfoHomepage: http://www.librecat.org/personId=47427
orcid: https://orcid.org/0000-0002-3389-793X
- foaf_Person:
foaf_givenName: Manuel
foaf_name: Gräler, Manuel
foaf_surname: Gräler
- foaf_Person:
foaf_givenName: Christian
foaf_name: Henke, Christian
foaf_surname: Henke
- foaf_Person:
foaf_givenName: Mirko Hessel-von
foaf_name: Molo, Mirko Hessel-von
foaf_surname: Molo
- foaf_Person:
foaf_givenName: Michael
foaf_name: Dellnitz, Michael
foaf_surname: Dellnitz
- foaf_Person:
foaf_givenName: Ansgar
foaf_name: Trächtler, Ansgar
foaf_surname: Trächtler
bibo_doi: 10.1016/j.protcy.2016.08.061
dct_date: 2016^xs_gYear
dct_isPartOf:
- http://id.crossref.org/issn/2212-0173
dct_language: eng
dct_title: Multiobjective Model Predictive Control of an Industrial Laundry@
...