Designing a Feedback Control System via Mixed-Integer Programming

Lena C. Altherr (), Thorsten Ederer (), Ulf Lorenz (), Peter F. Pelz () and Philipp Pöttgen ()
Additional contact information
Lena C. Altherr: Chair of Fluid Systems, TU Darmstadt
Thorsten Ederer: Discrete Optimization, TU Darmstadt
Ulf Lorenz: Chair of Fluid Systems, TU Darmstadt
Peter F. Pelz: Chair of Fluid Systems, TU Darmstadt
Philipp Pöttgen: Chair of Fluid Systems, TU Darmstadt

A chapter in Operations Research Proceedings 2014, 2016, pp 121-127 from Springer

Abstract: Abstract Pure analytical or experimental methods can only find a control strategy for technical systems with a fixed setup. In former contributions we presented an approach that simultaneously finds the optimal topology and the optimal open-loop control of a system via Mixed Integer Linear Programming (MILP). In order to extend this approach by a closed-loop control we present a Mixed Integer Program for a time discretized tank level control. This model is the basis for an extension by combinatorial decisions and thus for the variation of the network topology. Furthermore, one is able to appraise feasible solutions using the global optimality gap.

Keywords: Optimal Topology; Controller Parameter; Level Control System; Technical Operation Research; Optimal Closed Loop (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-28697-6_18

Ordering information: This item can be ordered from
http://www.springer.com/9783319286976

DOI: 10.1007/978-3-319-28697-6_18

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().