A unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systems

作者:Ikhouane Faycal*; Giri Fouad
来源:Journal of the Franklin Institute, 2014, 351(3): 1717-1727.
DOI:10.1016/j.jfranklin.2013.12.016

摘要

Hammerstein and Wiener models are nonlinear representations of systems composed by the coupling of a static nonlinearity N and a linear system L in the form N L and L N respectively. These models can represent real processes which made them popular in the last decades. The problem of identifying the static nonlinearity and linear system is not a trivial task, and has attracted a lot of research interest. It has been studied in the available literature either for Hammerstein or Wiener systems, and either in a discrete-time or continuous-time setting. The objective of this paper is to present a unified framework for the identification of these systems that is valid for SISO and MINI systems, discrete- and continuous-time settings, and with the only a priori knowledge that the system belongs to the set including Wiener and Hanunerstein models.

  • 出版日期2014-3