An integrated toolbox for linear and non-linear models

Lennart Ljung (1) , Qinghua Zhang (2) , Peter Lindskog (3) , Rajiv Singh

1 ISY/ICG - Information Coding - Department of Electrical Engineering [Linköping]
2 SISYPHE - SIgnals and SYstems in PHysiology & Engineering
3 NIRA Dynamics AB

The paper describes additions to the Matlab System Identification Toolbox, that handle also the estimation of nonlinear models. Both structured grey-box models and general, flexible black-box models are covered. The idea is that the look and feel of the syntax, and the graphical user interface should be as close as possible to the linear case.

Mots clés: nonlinear system identification; neural networks; nonlinear models

Domaines: Automatique

Lennart Ljung, Qinghua Zhang, Peter Lindskog, Rajiv Singh. An integrated toolbox for linear and non-linear models. 14th IFAC Symposium on System Identification (SYSID), Mar 2006, Newcastle, Australia. pp.931-936, ⟨10.3182/20060329-3-AU-2901.00148⟩. ⟨hal-00854864⟩