NNSYSID-Toolbox for System Identification with Neural Networks
Authors:
Magnus N
rgaard;
Ole Ravn; Niels Kj
lstad Poulsen
rgaard;
Ole Ravn; Niels Kj
lstad Poulsen
DOI:
10.1076/mcmd.8.1.1.8342
Publication Frequency:
6 issues per year
Published in:
Mathematical and Computer Modelling of Dynamical Systems,
Volume
8,
Issue
1
March
2002
, pages 1
- 20
Subjects:
Analysis - Mathematics;
Applied Mechanics;
Dynamical Control Systems;
Dynamical Systems;
Mathematical Modelling;
Mathematics & Statistics for Engineers;
Simulation & Modeling;
Formats available:
PDF
(English)
Previously published as:
Mathematical Modelling of Systems
(1381-2424)
until 1998
View Article:
View Article (PDF)
Abstract
The NNSYSID toolset for System Identification has been developed as an add on to MATLAB®. The NNSYSID toolbox has been designed to assist identification of nonlinear dynamic systems. It contains a number of nonlinear model structures based on neural networks, effective training algorithms and tools for model validation and model structure selection. This paper gives an overview of the design of NNSYSID and demonstrates its features in an example.
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