Fuzzy uncertainty in forward dynamics simulation

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Eisentraudt M, Leyendecker S
Zeitschrift: Mechanical Systems and Signal Processing
Jahr der Veröffentlichung: 2018
Band: 126
Seitenbereich: 590-608
ISSN: 0888-3270


Abstract

In this paper, fuzzy uncertainty in forward dynamics simulation is considered. The output of the dynamical system – a fuzzy function – is determined on the basis of α" role="presentation" style="display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border-width: 0px; border-style: initial; position: relative;">α-discretisation together with α" role="presentation" style="display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border-width: 0px; border-style: initial; position: relative;">α-level optimisation. A new method for an efficient realisation of α" role="presentation" style="display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border-width: 0px; border-style: initial; position: relative;">α-level optimisation is developed, which is applicable to arbitrary time integration schemes. The method, called ‘Graph Follower’, is based on combinations of local optimisations and time integration steps. Different formulations of the underlying α" role="presentation" style="display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border-width: 0px; border-style: initial; position: relative;">α-level optimisation problem are derived and examined. In particular, an approximative description of the output as a function of the parameters is introduced, which enables a significant reduction of the numerical complexity of the developed method.


FAU-Autoren / FAU-Herausgeber

Eisentraudt, Markus
Lehrstuhl für Technische Dynamik
Leyendecker, Sigrid Prof. Dr.-Ing.
Lehrstuhl für Technische Dynamik


Zitierweisen

APA:
Eisentraudt, M., & Leyendecker, S. (2018). Fuzzy uncertainty in forward dynamics simulation. Mechanical Systems and Signal Processing, 126, 590-608. https://dx.doi.org/10.1016/j.ymssp.2019.02.036

MLA:
Eisentraudt, Markus, and Sigrid Leyendecker. "Fuzzy uncertainty in forward dynamics simulation." Mechanical Systems and Signal Processing 126 (2018): 590-608.

BibTeX: 

Zuletzt aktualisiert 2019-21-03 um 14:10