The SLICOT System Identification Toolbox (SLICOT-SystemIdentification) includes SLICOT-based MATLAB and Fortran tools for linear and Wiener-type, time-invariant discrete-time multivariable systems. Subspace-based approaches MOESP - Multivariable Output-Error state SPace identification, N4SID - Numerical algorithms for Subspace State Space System IDentification, and their combination, are used to identify linear systems, and to initialize the parameters of the linear part of a Wiener system. All parameters of a Wiener system are then estimated using a specialized Levenberg-Marquardt algorithm.
The main functionalities of the toolbox include:
- identification of linear discrete-time state space systems (A, B, C, D)
- identification of state and output (cross-)covariance matrices for such systems
- estimation of the associated Kalman gain matrix
- estimation of the initial state
- conversion from/to a state-space representation to/from the output normal form parameterization
- identification of discrete-time Wiener systems
- computation of the output response of Wiener systems.
The toolbox main features are:
- computational reliability
- high numerical efficiency, using structure exploiting algorithms and dedicated linear algebra tools
- possible speed-up factors larger then 10 in comparison with the commonly used software tools flexibility and easy-of-use
- ability to process multiple (possibly connected) data batches
- standardized interfaces
The programs have been extensively tested on various test examples and are fully documented.
The codes have been tested with MATLAB 2015b through 2021b. To use the functions, the Control System Toolbox must be installed in MATLAB running under 64-bit Windows 7, 8, 8.1 or 10.
- See
LICENSEfor licensing information.
Please cite SLICOT-SystemIdentification using at least one of the following references:
- P. Benner, D. Kressner, V, Sima, and A. Varga, The SLICOT Toolboxes - a Survey, SLICOT Working Note 2009-1, August 2009.
- P. Benner, D. Kressner, V. Sima, A. Varga, Die SLICOT-Toolboxen für Matlab - The SLICOT Toolboxes for Matlab (in German), at – Automatisierungstechnik, 58 (2010).
