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A Neural Model for Delay Correction in a Distributed Control System

  • Ana Antunes
  • Fernando Morgado Dias
  • Alexandre Mota
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5164)

Abstract

Distributed control systems frequently suffer from variable sampling to actuation delay. This delay can degrade the control quality of such systems. In some distributed control systems it is possible to know, at control time, the value of the delay. The work reported in this paper proposes to build a model of the behavior of the system in the presence of the variable delay and to use this model to compensate the control signal in order to avoid the delay effect. This model can be used as a compensator that can easily be added to an existing control system that does not account for the sampling to actuation delay effect. The compensator can be applied to distributed systems using online or off-line scheduling policies provided that the sampling to actuation delay can be evaluated. The effectiveness of the neural network delay compensator is evaluated using a networked control system with a pole-placement controller.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ana Antunes
    • 1
  • Fernando Morgado Dias
    • 2
  • Alexandre Mota
    • 3
  1. 1.Departamento de Engenharia ElectrotécnicaEscola Superior de Tecnologia de Setúbal do Instituto Politécnico de SetúbalSetúbalPortugal
  2. 2.Centro de Ciências Matemáticas - CCM and Departamento de Matemática e EngenhariasUn. da MadeiraMadeiraPortugal
  3. 3.DETI/Universidade de AveiroAveiroPortugal

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