Title :
Measurement-based model reduction in linear systems
Author :
Keel, L.H. ; Bhattacharyya, S.P.
Author_Institution :
Dept. of Electr. Eng., Tennessee State Univ., Nashville, TN, USA
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 Thévenin 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.
Keywords :
control system synthesis; linear systems; reduced order systems; Norton equivalent; Thevenin equivalent; circuit theory; engineering design; linear systems; measurement-based model reduction; reduced order models; Linear systems; Mathematical model; Polynomials; Reduced order systems; Transfer functions; Vectors; Linear systems; measurements-based approach;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISCCSP.2014.6877814
