14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThB5.5

Ljung, Lennart (Linkoping Univ.), Zhang, Qinghua (INRIA), Lindskog, Peter (NIRA Dynamics), Iouditski, Anatoli (.Univ. of Grenoble), Singh, Rajiv (The Mathworks, Inc)

An Integrated Toolbox for Linear and Nonlinear Models

Scheduled for presentation during the Poster Session "Software Demonstration Session II" (ThB5), Thursday, March 30, 2006, 15:30−17:30, Mulubinba Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Toolboxes, Nonlinear System Identification, Maximum Likelihood Methods


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.