15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
A NEW BILINEAR GENERALIZED PREDICTIVE CONTROL APPROACH: ALGORITHM AND RESULTS
Adhemar de Barros Fontes(1), André Laurindo Maitelli(2) and Andrés Ortiz Salazar(3)
(1) Federal University of Bahia, Brazil, adhemar@ufrnet.br
(2,3) Federal University of the Rio Grande do Norte, Brazil

In this paper a new approach of bilinear predictive control is present. The approach is based in the Bilinear Generalized Predictive Control (BGPC), strategy that makes use of the time-step quasi-linearised NARIMAX model. In that approach, due to the used model, a prediction error exist, which increases with the prediction horizon, degrading the performance of that controller. Thus, in the present approach, a compensated model is used, whose compensation term depends of the prediction horizon. The algorithm and the results obtained in a example simulation are shown, evidencing that a new approach presents a better performance than the controller based on the quasi-linear model.
Keywords: bilinear systems; estimation; identification; model predictive control and nonlinear systems
Session slot T-Tu-M21: Posters of Control Design/Area code 2a : Control Design