TY  - CHAP
A1  - Pfetsch, Marc E.
A1  - Abele, Eberhard
A1  - Altherr, Lena
A1  - Bölling, Christian
A1  - Brötz, Nicolas
A1  - Dietrich, Ingo
A1  - Gally, Tristan
A1  - Geßner, Felix
A1  - Groche, Peter
A1  - Hoppe, Florian
A1  - Kirchner, Eckhard
A1  - Kloberdanz, Hermann
A1  - Knoll, Maximilian
A1  - Kolvenbach, Philip
A1  - Kuttich-Meinlschmidt, Anja
A1  - Leise, Philipp
A1  - Lorenz, Ulf
A1  - Matei, Alexander
A1  - Molitor, Dirk A.
A1  - Niessen, Pia
A1  - Pelz, Peter F.
A1  - Rexer, Manuel
A1  - Schmitt, Andreas
A1  - Schmitt, Johann M.
A1  - Schulte, Fiona
A1  - Ulbrich, Stefan
A1  - Weigold, Matthias
T1  - Strategies for mastering uncertainty
T2  - Mastering uncertainty in mechanical engineering
N2  - This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.
Y1  - 2021
SN  - 978-3-030-78353-2
U6  - http://dx.doi.org/10.1007/978-3-030-78354-9_6
N1  - Part of the Springer Tracts in Mechanical Engineering book series (STME)
SP  - 365
EP  - 456
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
A1  - Pöttgen, Philipp
ED  - Lübbecke, Marco E.
ED  - Koster, Arie
ED  - Letmathe, Peter
ED  - Madlener, Reihard
ED  - Preis, Britta
ED  - Walther, Grit
T1  - Designing a feedback control system via mixed-integer programming
T2  - Operations Research Proceedings 2014: Selected Papers of the Annual International Conference of the German Operations Research
N2  - 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.
KW  - Optimal Topology
KW  - Controller Parameter
KW  - Level Control System
KW  - Technical Operation Research
KW  - Optimal Closed Loop
Y1  - 2016
SN  - 978-3-319-28695-2
U6  - http://dx.doi.org/10.1007/978-3-319-28697-6_18
SP  - 121
EP  - 127
PB  - Springer
CY  - Cham
ER  -