DocumentCode :
2021222
Title :
Minimal state space realization for transfer functions represented by coefficients using generalized orthonormal basis
Author :
Szabo, Zoltan ; Bokor, Jozsef
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Volume :
1
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
169
Abstract :
Given the expansion coefficients γlk of a rational transfer function G in a generalized orthonormal basis generated by an inner function m, one can construct a state space representation starting from the balanced realization of m, but that representation is not minimal-even in the SISO case-in general. Therefore one needs an algorithm to construct a minimal representation. This paper gives a generalization of the celebrated Ho-Kalman algorithm that provides the desired minimal representation
Keywords :
identification; matrix algebra; realisation theory; state-space methods; transfer functions; Ho-Kalman algorithm; balanced realization; generalized orthonormal basis; minimal representation; minimal state space realization; rational transfer function; state space representation; Approximation error; Automation; Fourier series; Frequency domain analysis; Noise generators; Noise measurement; Robust control; State-space methods; System identification; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.650609
Filename :
650609
Link To Document :
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