Modeling of Nonlinear Block-Oriented Systems Using Orthonormal Basis and Radial Basis Functions

Abstract

This paper presents a methodology for modeling of Wiener, Hammerstein and feedback-nonlinear systems via orthonormal basis and radial basis functions. The approach is computationally effective, in particular in terms of elimination of the disastrous bilinearity effect. Simulation study for the magnetic levitation process confirms the attractiveness of the method.