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Identification Toolbox

Tools for identification of dynamical systems
(2235 downloads for this version - 16400 downloads for all versions)
A more recent valid version exists: 1.1.1
Department of Control Engineering, CTU Prague
Martin Novotny
Owner Organization
Martin Novotny
Creation Date
May 16, 2011
Source created on
Scilab 5.3.x
Binaries available on
Scilab 5.3.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Install command
--> atomsInstall("identification")
* Identification Toolbox 1.1 beta **

Identification Toolbox is used to construct mathematical models of LTI systems 
from measured input-output data sequences. There is also possible to combine the
identification based on measured input-output data with first principles

Whereas, the tool is developed at the educational and research institution, it
serves primarily the new approaches and the development is focused particularly
in the innovations and testing.

The tool allows:
- Preprocessing of signals (resampling, filtering, detrending,...)
- Identification of LTI systems
- Validating of constructed models

Supported Models:
- State-space

Supported Methods:
- Prediction Error Method (PEM)
- Subspace State-Space System IDentification (4SID)
- Combining 4SID + PEM
- Errors in Variables (EIV) identification

New features:
- Use of Nonnegative Garrote Method (NNG) for order selection (reduction) of
ARX/ARMAX models
- Handling Certain Structure Information in 4SID Identification
- Handling Structure Information in Black-Box (BB) Modeling
- Estimating Physical Parameters of a System by BB

Future extensions:
- Graphical User Interface
- Other LTI models
- Other identification methods

Files (2)
[291.59 kB]
Source code archive
Corrected version to compile.
[319.17 kB]
OS-independent binary for Scilab 5.3.x
Binary version
Automatically generated by the ATOMS compilation chain

News (0)
Comments (1)     Leave a comment 
Comment from Martin Novotny -- May 26, 2011, 11:16:18 AM    
Hello, GUI is not yet in any version of Identification Toolbox. It is being developed and
will be maybe available in the next version.

Version 1.0:

Supported Models
- State-space

Supported Methods
- Prediction Error Method (PEM)
- Subspace State-Space System IDentification (4SID)
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