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Authors
Sjoberg, Jonas E.; Hjalmarsson, Håkan

Identifier
10.3182/20090706-3-FR-2004.00124

Index Terms
Toolboxes; Nonlinear System Identification; Subspace Methods

Abstract
In this contribution we describe a new signals, systems and identification toolbox for the symbolic and numerical computation system Mathematica. The toolbox provides functionality for computation of properties of systems and signals ranging from frequency responses, zeros and poles to signal spectra and spectral factorizations. It also includes a wide range of identification algorithms ranging from spectral analysis to subspace and prediction error identification of models for non-linear systems. The symbolic capabilities of Mathematica are used to allow the user to construct very general model structures, and for pre-processing, such as gradient calculations, when optimizing the parameters in such structures.

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