This work presents a novel means of identification and control Hammerstein-
type nonlinear process data from a relay feedback experiment. The static no
nlinearity part of the proposed model is represented by an invertible funct
ion defined on an operation range. Parameters in this function are determin
ed by means of a simple optimization procedure which aims to obtain a symme
tric cycling instrumental output. Based on the instrumental output, a simpl
e transfer function of linear subsystem is determined. The linear subsystem
of the model is represented in FOPDT or SOPDT form. Notably, identificatio
n of the linear and nonlinear parts is fully decoupled. Finally, control of
such process using the identified model is presented.