Title :
Approximate aggregation for linear multivariable systems
Author_Institution :
Bell-Northern Research, Verdun, Canada
Abstract :
Given a reduced order model of a high order system, the question of approximate aggregation is examined. An error analysis indicates that there is an optimal choice for the aggregation matrix. The method shows that reduced order models are related to Luenberger observers. A comparison with the method of singular perturbations is made.
Keywords :
error analysis; linear systems; multivariable systems; Luenberger observers; aggregation matrix; approximate aggregation; error analysis; high order system; linear multivariable systems; reduced order model; singular perturbations;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19800362
