Resumo

LUSSON CERVANTES, A.; AGAMENNONI, O.E.  e  FIGUEROA, J.L.. Robust identification of PWL-Wiener Models: use in model predictive control. Lat. Am. appl. res. [online]. 2003, vol.33, n.4, pp.435-442. ISSN 0327-0793.

In this paper a robust identification strategy for Wiener like models constituted by a linear dynamic block in series with a Piecewise Linear (PWL) function as the nonlinear static gain is presented. The proposed realization allows straightforward characterization of the static gain uncertainty. A robust Model Predictive Control (MPC) algorithm, using the presented modeling strategy, is developed to guarantee that no constraints in the feedback loop are violated.

Palavras-chave : Identification; Wiener Model; Robustness; Model Predictive Control.

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