Available software for subspace identification
Software developed at ESAT-SCD-SISTA
- Subspace algorithms supplied with a popular
book
(see related references) about
subspace written by Peter Van Overschee and Bart
De Moor
Download matlab implementation
(tar-gzip)
Open the README-file supplied with the implementation
to get started.
Related references (please cite the following references when using
the software for scientific purposes!)
- Van Overschee P., De Moor B., "Subspace
Identification for
Linear Systems, Theory, Implementation, Applications",
Kluwer Academic Publishers, (1996)
- Van Overschee P., De Moor B., "Subspace
algorithms for the
stochastic identification problem", Automatica, Vol. 29, no. 3,
pp. 649-660, (1993)
- Van Overschee P., De Moor B., "N4SID:
Subspace algorithms for the identification of combined
deterministic-stochastic systems'', Automatica, Special
Issue on Statistical Signal Processing and Control, vol. 30, no. 1, Jan.
1994, pp. 75-93.
- the ISID-module in Xmath, developed by Peter Van Overschee and
Bart
De Moor and in
license sold to ISI Inc. (now Wind River), USA
Other software packages containing subspace identification algorithms
- CUEDSID: Cambridge University
System Identification Toolbox. Contributed by: J.M. Maciejowski.
Software for identification of linear and bilinear multivariable systems, using subspace
methods and balanced parametrizations. For use with Matlab, the System Identification Toolbox,
and the Control System Toolbox.
- the System
Identification Toolbox in Matlab, developed by
Professor Lennart
Ljung (Linköping, Sweden)
- the system identification package ADAPTx of Adaptics, Inc,
developed by dr. W. E. Larimore
- the software packages RaPID and INCA of IPCOS International
- the package MACEC, developed at
the research group Structural Mechanics of the
Department of Civil
Engineering, K.U.Leuven, Belgium
- products of LMS
International
Also public domain software, as
SLICOT
and the SMI
toolbox of the Control Laboratory at the T.U.Delft
contain subspace identification algorithms.