Algorithms and LAPACK-based software for subspace identification

Basic algorithms and LAPACK-based Fortran software for multivariable system identification by subspace techniques are briefly described. Deterministic and combined deterministic-stochastic identification problems are dealt with using two approaches. A state space model is computed from input-output...

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Bibliographic Details
Published in:1996 IEEE International Symposium on Computer-Aided Control System Design pp. 182 - 187
Main Author: Sima, V.
Format: Conference Proceeding
Language:English
Published: IEEE 1996
Subjects:
Informatics
Least squares approximation
Linear algebra
Mathematical model
MATLAB
MIMO
Parallel processing
Singular value decomposition
Software algorithms
State-space methods
ISBN:0780330323, 9780780330320
Online Access:Get full text
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Description
Summary:Basic algorithms and LAPACK-based Fortran software for multivariable system identification by subspace techniques are briefly described. Deterministic and combined deterministic-stochastic identification problems are dealt with using two approaches. A state space model is computed from input-output data sequences. Multiple data sequences collected by possibly independent identification experiments can be handled. Sequential processing of large data sets is provided as an option. Illustrative numerical examples are included.
ISBN:0780330323
9780780330320
DOI:10.1109/CACSD.1996.555275