MEASUREMENT-BASED MODEL REDUCTION IN LINEAR SYSTEMS Conference Paper uri icon

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)

published proceedings

  • 2014 6TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING (ISCCSP)

author list (cited authors)

  • Keel, L. H., & Bhattacharyya, S. P.

citation count

  • 1

complete list of authors

  • Keel, LH||Bhattacharyya, SP

publication date

  • May 2014