Model order reduction for Digital Twins of Mechatronic Systems. KU Leuven
The main goal of this PhD project is the development of parametric model order reduction methods for the efficient evaluation of the models involved in the estimation process of Digital Twins for high-dynamic mechatronic systems. The desired reduced model will be able to undergo reconfigurations over the state and parameter space, in a trade-off between accuracy and computational load. The focus will be set on the transformation of expensive ...