Direct Inverse Control of a Kiln

نویسندگان

  • Fernando Morgado Dias
  • Alexandre Manuel Mota
چکیده

This paper presents an application of Neural Networks to the control of a real system with measurement noise. The system is a kiln and the steps taken to arrive at direct and inverse models are described. The results of controlling the kiln with a Direct Inverse Control strategy are presented. Copyright CONTROLO 2000

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تاریخ انتشار 2003