Controller Design for Nonlinear Hammerstein and Wiener Systems Based on VRFT Method

Abstract This paper presents a novel data-based controller design for nonlinear Hammerstein and Wiener systems based on the VRFT design framework. In the proposed method, identification of a complete dynamic model of the nonlinear system is not required, whereas only the static nonlinearity has to be estimated. Furthermore, the nonlinearity estimation and the controller design are performed simultaneously without the needs of iterative procedures or nonlinear optimization. Simulation study of a pH neutralization process confirms the effectiveness of the proposed controller design method.