Identification of Hammerstein Systems Using Separable Random Multisines
2005 (English)Report (Other academic)
The choice of input signal is very important in identification of nonlinear systems. In this paper, it is shown that random multisines with a flat amplitude spectrum are separable. The separability property means that certain conditional expectations are linear and it implies that random multisines easily can be used to obtain accurate estimates of the linear time-invariant part of a Hammerstein system. This is illustrated in a numerical example.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2005. , 11 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2722
System identification, Random multisines, Separable processes, Hammerstein systems
IdentifiersURN: urn:nbn:se:liu:diva-56078ISRN: LiTH-ISY-R-2722OAI: oai:DiVA.org:liu-56078DiVA: diva2:316859