14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper FrPD1.2

Schoukens, Johan (Vrije Univ. Brussel), Pintelon, Rik (Vrije Univ. Brussel), Rolain, Yves (Vrije Univ. Brussel)

Identification of Nonlinear and Linear Systems, Similarities, Differences and Challenges

Scheduled for presentation during the Panel Discussion "Panel Discussion - Experiences and Challenges of Nonlinear System Identification" (FrPD1), Friday, March 31, 2006, 14:00−15:00, Concert Hall

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

This information is tentative and subject to change. Compiled on July 16, 2018

Keywords Nonlinear System Identification


The basic goal of system identification is to match models on data that are disturbed with noise by minimizing a well selected cost function. Opposed to linear system identification where the disturbing noise is the dominant error, model errors are the major problem for nonlinear system identification. This has its impact on the whole identification process: the design of the experiment, the selection of the cost function, the validation and use of the identified model. The search for good flexible models that are easy to identify is the driving force behind the actual nonlinear system identification research.