Editorials in Scientific Journals:
S. Winkler, A. Körner, F. Breitenecker:
"Modelling framework for artificial hybrid dynamical systems";
Nonlinear Analysis: Hybrid Systems,
42
(2021),
101072;
29 pages.
English abstract:
Many current industry branches use hybrid approaches to solve complex application problems. Over the last decades, different tools for the simulation of such hybrid systems (e.g. Hysdel and YAMLIP) as well as the identification of hybrid systems (e.g. HIT, MLP and OAF NN) have been developed. The framework presented in this work facilitates the integration of artificial feed-forward neural networks in the modelling process of hybrid dynamical systems (HDS).
Keywords:
Hybrid dynamical systems; Neural networks; Modelling benchmark; Hybrid neural networks; Hybrid modelling framework
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.nahs.2021.101072
Created from the Publication Database of the Vienna University of Technology.