MEASUREMENT-BASED MODEL REDUCTION IN LINEAR SYSTEMS
Conference Paper
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
In this paper, we present some new results on the characterization of solutions of unknown linear systems. These naturally lead to highly reduced order models which can be developed from a small number of measurements. Such models are generalizations and extensions of Thvenin and Norton equivalents of classical circuit theory. They are very useful in engineering design in various fields. Illustrative examples will be given in this paper. 2014 IEEE.
name of conference
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)