Authors:
Elizabeth Rita Samuel
;
Luc Knockaert
and
Tom Dhaene
Affiliation:
Ghent University - iMinds, Belgium
Keyword(s):
Model Order Reduction, Projection Matrix, Singular Values, Reflective Exploration, Passivity.
Related
Ontology
Subjects/Areas/Topics:
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
;
System Modeling
;
Systems Modeling and Simulation
Abstract:
Reduced state-space models obtained by model order reduction methods must be accurate over the whole frequency range of interest and must also preserve passivity. In this paper, we propose multipoint reduction technique using reflective exploration for adaptively choosing the expansion points. The projection matrices obtained from the expansion points are merged to form the overall projection matrix. In order to obtain a more compact model the projection matrix is truncated based on its singular values. Finally, the reduced order
model is obtained, while ensuring that the passivity of the reduced system is preserved during the reduction process.