Title :
Hammerstein Systems Identification in Presence of Hard Nonlinearities of Preload and Dead-Zone Type
Author :
Giri, F. ; Rochdi, Y. ; Chaoui, F.Z.
Author_Institution :
GREYC Lab., Univ. of Caen Basse-Normandie, Caen, France
Abstract :
Hammerstein system identification is considered in presence of preload and dead zone nonlinearities. The discontinuous feature of these nonlinearities makes it difficult to get a single system parameterization involving linearly all unknown parameters (those of the linear subsystem and those of the nonlinearity). Therefore, system identification has generally been dealt with using multiple stage schemes including different parametrizations and several data acquisition experiences. However, the consistency issue has only been solved under restrictive assumptions regarding the identified system. In this paper, a new identification scheme is designed and shown to be consistent under mild assumptions.
Keywords :
least squares approximations; parameter estimation; Hammerstein systems identification; data acquisition; dead zone nonlinearity; discontinuous feature; multiple stage scheme; preload nonlinearity; single system parameterization; system identification; Hammerstein systems; hard nonlinearities; parametric identification;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2009.2026832