This work presents a novel means of identification and control Hammerstein-type nonlinear process data from a relay feedback experiment. The static nonlinearity part of the proposed model is represented by an invertible function defined on an operation range. Parameters in this function are determined by means of a simple optimization procedure which aims to obtain a symmetric cycling instrumental output. Based on the instrumental output, a simple transfer function of linear subsystem is determined. The linear subsystem of the model is represented in FOPDT or SOPDT form. Notably, identification of the linear and nonlinear parts is fully decoupled. Finally, control of such process using the identified model is presented.