Title :
Hankel model reduction without balancing-A descriptor approach
Author :
Safonov, M.G. ; Chiang, R.Y. ; Limebeer, D.J.N.
Author_Institution :
University of Southern California, Los Angeles, CA
Abstract :
A basis-free descriptor system representation is shown to facilitate the computation of all minimum-degree and optimal kth order all-pass extensions and Hankel-norm approximates. The descriptor representation has the same simple form for both the optimal and for the suboptimal minimunl degree cases. The method eliminates the need for the potentially ill-conditioned calculation of a minimal balanced, or partially balanced, realization of the system to be reduced. A simple, numerically sound method based on singular-value decomposition enables the results to be expressed in state-space form. A listing of PC-MATLAB code which implements the algorithm can be found in authors´ program LINF.
Keywords :
Approximation algorithms; Approximation methods; Computer languages; Educational institutions; Equations; Mathematical model; Reduced order systems;
Conference_Titel :
Decision and Control, 1987. 26th IEEE Conference on
Conference_Location :
Los Angeles, California, USA
DOI :
10.1109/CDC.1987.272701