An approach for identification of uncertain Wiener systems

JOSE LUIS FIGUEROA; SILVINA INES BIAGIOLA; OSVALDO ENRIQUE AGAMENNONI

MATHEMATICAL AND COMPUTER MODELLING

Elsevier

Año: 2008 vol. 48 p. 305 - 315

0895-7177

As reported in the literature, Wiener models have arisen as an appealing proposal for nonlinear process representation due to their simplicity and their property of being valid over a larger operating region than a LTI model. These models consist of a cascade connection of a linear time invariant system and a static nonlinearity. In the description of these models, there are several ways to represent the linear and the nonlinear blocks, and several approaches can be found in the literature to perform the identification process. In this article, we provide a parametric description for the Wiener system. This approach allows us to describe the uncertainty as a set of parameters. The proposed algorithm is illustrated through a pH neutralization process.