SciELO - Scientific Electronic Library Online

 
vol.33 issue4Groebner bases for designing dynamical systemsAcoustic emission signal analysis in machining processes using wavelet packets author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Latin American applied research

Print version ISSN 0327-0793

Abstract

LUSSON CERVANTES, A.; AGAMENNONI, O.E.  and  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.

Keywords : Identification; Wiener Model; Robustness; Model Predictive Control.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License