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On-Line Learning of a Time Variant System

  • Fernando Morgado Dias
  • Ana Antunes
  • José Vieira
  • Alexandre Manuel Mota
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)

Abstract

In the present work a sliding window approach for the Levenberg-Marquardt algorithm is used for on-line modelling a time variant system. The system used is a first order cruise control in which a modification is introduced to change the system gain at some point of operation. The initial control of the cruise control is performed by a PI not particularly optimised but enough to keep the system working within the intended range, which is then replaced by an Artificial Neural Network as soon as it is trained, using an Internal Model Controller loop.

Keywords

Hessian Matrix Trust Region Inverse Model Time Variant System Slide Window Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fernando Morgado Dias
    • 1
  • Ana Antunes
    • 1
  • José Vieira
    • 2
  • Alexandre Manuel Mota
    • 3
  1. 1.Departamento de Engenharia Electrotécnica, Campus do IPS, EstefanilhaEscola Superior de Tecnologia de Setúbal do Instituto Politécnico de SetúbalSetúbalPortugal
  2. 2.Departamento de Engenharia ElectrotécnicaEscola Superior de Tecnologia de Castelo BrancoCastelo BrancoPortugal
  3. 3.Departamento de Electrónica e TelecomunicaçõesUniversidade de AveiroAveiroPortugal

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